ML Engineer Jobs in Oman.
All active ML Engineer roles based in Oman.
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CMC Principal Architect / Engagement Lead
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Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
Project Duration
6-month engagement with the possibility of extension
What You’ll Do
- Lead structured technical discovery with the hardware and platform engineering teams to establish the API surface, platform readiness, and target workload definitions
- Author the Architecture Decision Record (ADR) documenting the integration approach, technology choices, and key design decisions
- Define the requirements baseline, functional and non-functional, and produce the risk register
- Negotiate and agree the revised Statement of Work for Phases 1 and 2 with the client
- Establish the reference workload definition and benchmark criteria to be used through the POC
- Maintain technical governance and architectural coherence across the integration build
- Direct the engineering team on component delivery: workload adapter, hardware dispatch client, telemetry bridge, and any required platform-side changes
- Manage the client relationship on a day-to-day basis: progress reporting, risk escalation, and gate reviews
- Review and sign off integration components before gate conditions are assessed
- Lead knowledge transfer and runbook acceptance sessions with client engineering teams
- Support the customer Proof of Value demonstration in an advisory capacity
What You Bring
- Demonstrable background in cloud platform architecture, distributed systems, and API design — REST and gRPC in particular
- Experience integrating third-party hardware or specialised compute into cloud scheduling and resource management layers
- Familiarity with workload orchestration: Kubernetes, custom schedulers, resource plugins, or equivalent
- Working knowledge of observability tooling: OpenTelemetry, Prometheus, Grafana, or comparable stacks
- Comfort operating across the full stack, from infrastructure (IaC, networking, cloud providers) to API and platform layers
- SRE background or equivalent: SLO definition, telemetry design, incident response, and operational documentation
- Ability to design for observability and failure modes from the outset, not as a post-build afterthought
- Experience producing runbooks and operational documentation for technical handover
- Proven ability to lead client-facing technical engagements, managing expectations, communicating risk, and maintaining trust in ambiguous early-stage programmes
- Comfortable working with non-traditional technical counterparts, such as hardware scientists who may not be experienced platform API producers
- Skilled at structured requirements elicitation under significant uncertainty — able to extract requirements through interviews, prototypes, and reference examples rather than documentation
- Experience producing Architecture Decision Records, revised SOW documents, and risk registers as formal engagement outputs
- Experience operating as a senior contractor or fractional leader, comfortable with part-time engagement structures and accountability for commercial gate conditions without full-time oversight
- Able to take ownership of engagement quality and client confidence independently
Nice to Have
- Prior exposure to custom silicon, FPGA integration, or specialised AI accelerator hardware
- Experience in sovereign cloud, data sovereignty, or regulated compute environments
- Familiarity with AI/ML workload types: inference serving, training pipelines, batch processing
- Experience with M2M identity, workload authentication, and platform governance patterns
- Background in early-stage or venture-backed technology companies where engineering rigour and commercial pragmatism must coexist
English level
Upper-Intermediate
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
Project Duration
6-month engagement with the possibility of extension
What You’ll Do
- Lead structured technical discovery with the hardware and platform engineering teams to establish the API surface, platform readiness, and target workload definitions
- Author the Architecture Decision Record (ADR) documenting the integration approach, technology choices, and key design decisions
- Define the requirements baseline, functional and non-functional, and produce the risk register
- Negotiate and agree the revised Statement of Work for Phases 1 and 2 with the client
- Establish the reference workload definition and benchmark criteria to be used through the POC
- Maintain technical governance and architectural coherence across the integration build
- Direct the engineering team on component delivery: workload adapter, hardware dispatch client, telemetry bridge, and any required platform-side changes
- Manage the client relationship on a day-to-day basis: progress reporting, risk escalation, and gate reviews
- Review and sign off integration components before gate conditions are assessed
- Lead knowledge transfer and runbook acceptance sessions with client engineering teams
- Support the customer Proof of Value demonstration in an advisory capacity
What You Bring
- Demonstrable background in cloud platform architecture, distributed systems, and API design — REST and gRPC in particular
- Experience integrating third-party hardware or specialised compute into cloud scheduling and resource management layers
- Familiarity with workload orchestration: Kubernetes, custom schedulers, resource plugins, or equivalent
- Working knowledge of observability tooling: OpenTelemetry, Prometheus, Grafana, or comparable stacks
- Comfort operating across the full stack, from infrastructure (IaC, networking, cloud providers) to API and platform layers
- SRE background or equivalent: SLO definition, telemetry design, incident response, and operational documentation
- Ability to design for observability and failure modes from the outset, not as a post-build afterthought
- Experience producing runbooks and operational documentation for technical handover
- Proven ability to lead client-facing technical engagements, managing expectations, communicating risk, and maintaining trust in ambiguous early-stage programmes
- Comfortable working with non-traditional technical counterparts, such as hardware scientists who may not be experienced platform API producers
- Skilled at structured requirements elicitation under significant uncertainty — able to extract requirements through interviews, prototypes, and reference examples rather than documentation
- Experience producing Architecture Decision Records, revised SOW documents, and risk registers as formal engagement outputs
- Experience operating as a senior contractor or fractional leader, comfortable with part-time engagement structures and accountability for commercial gate conditions without full-time oversight
- Able to take ownership of engagement quality and client confidence independently
Nice to Have
- Prior exposure to custom silicon, FPGA integration, or specialised AI accelerator hardware
- Experience in sovereign cloud, data sovereignty, or regulated compute environments
- Familiarity with AI/ML workload types: inference serving, training pipelines, batch processing
- Experience with M2M identity, workload authentication, and platform governance patterns
- Background in early-stage or venture-backed technology companies where engineering rigour and commercial pragmatism must coexist
English level
Upper-Intermediate
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel
Principal Platform & Engagement Architect
Share this job
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
Project Duration
6-month engagement with the possibility of extension
What You’ll Do
- Lead structured technical discovery with the hardware and platform engineering teams to establish the API surface, platform readiness, and target workload definitions
- Author the Architecture Decision Record (ADR) documenting the integration approach, technology choices, and key design decisions
- Define the requirements baseline, functional and non-functional, and produce the risk register
- Negotiate and agree the revised Statement of Work for Phases 1 and 2 with the client
- Establish the reference workload definition and benchmark criteria to be used through the POC
- Maintain technical governance and architectural coherence across the integration build
- Direct the engineering team on component delivery: workload adapter, hardware dispatch client, telemetry bridge, and any required platform-side changes
- Manage the client relationship on a day-to-day basis: progress reporting, risk escalation, and gate reviews
- Review and sign off integration components before gate conditions are assessed
- Lead knowledge transfer and runbook acceptance sessions with client engineering teams
- Support the customer Proof of Value demonstration in an advisory capacity
What You Bring
- Demonstrable background in cloud platform architecture, distributed systems, and API design — REST and gRPC in particular
- Experience integrating third-party hardware or specialised compute into cloud scheduling and resource management layers
- Familiarity with workload orchestration: Kubernetes, custom schedulers, resource plugins, or equivalent
- Working knowledge of observability tooling: OpenTelemetry, Prometheus, Grafana, or comparable stacks
- Comfort operating across the full stack, from infrastructure (IaC, networking, cloud providers) to API and platform layers
- SRE background or equivalent: SLO definition, telemetry design, incident response, and operational documentation
- Ability to design for observability and failure modes from the outset, not as a post-build afterthought
- Experience producing runbooks and operational documentation for technical handover
- Proven ability to lead client-facing technical engagements, managing expectations, communicating risk, and maintaining trust in ambiguous early-stage programmes
- Comfortable working with non-traditional technical counterparts, such as hardware scientists who may not be experienced platform API producers
- Skilled at structured requirements elicitation under significant uncertainty — able to extract requirements through interviews, prototypes, and reference examples rather than documentation
- Experience producing Architecture Decision Records, revised SOW documents, and risk registers as formal engagement outputs
- Experience operating as a senior contractor or fractional leader, comfortable with part-time engagement structures and accountability for commercial gate conditions without full-time oversight
- Able to take ownership of engagement quality and client confidence independently
Nice to Have
- Prior exposure to custom silicon, FPGA integration, or specialised AI accelerator hardware
- Experience in sovereign cloud, data sovereignty, or regulated compute environments
- Familiarity with AI/ML workload types: inference serving, training pipelines, batch processing
- Experience with M2M identity, workload authentication, and platform governance patterns
- Background in early-stage or venture-backed technology companies where engineering rigour and commercial pragmatism must coexist
English level
Upper-Intermediate
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel Inc (Website)
Backend Engineer
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Point Wild helps customers monitor, manage, and protect against the risks associated with their identities and personal information in a digital world. Backed by WndrCo, Warburg Pincus and General Catalyst, Point Wild is dedicated to creating the world’s most comprehensive portfolio of industry-leading cybersecurity solutions. Our vision is to become THE go-to resource for every cyber protection need individuals may face - today and in the future.
Join us for the ride!
About the Role:
We’re looking for a Backend Engineer to contribute to a next-generation security initiative. You’ll be part of a small, highly technical team working on novel approaches to secure systems - with a focus on cryptography, automation, and AI-powered analysis. You’ll work closely with senior engineers and contribute hands-on to the codebase across the stack. This role involves hands-on development, learning opportunities, and collaboration across engineering, product, and design.
Day to Day:
- Contribute to the design, development, and delivery of features across the product
- Write clean, maintainable code for back-end systems deployed in AWS or GCP
- Collaborate with AI and cryptography specialists
- Work with the product manager to understand requirements and help the team plan architecture, data flows, API specs, and testing strategies
- Follow established engineering practices and participate in team discussions around process and quality
- Participate in customer-driven development and iterate based on feedback
- Write automated tests for load, performance, and error handling
What you bring to the table:
- 3+ years of hands-on software engineering experience for backend development
- Excellent TypeScript and Node.js coding experience
- AWS experience in containers (EKS, ECS) and serverless systems
- Relational, key/value, and graph datastore experience with schema management
- API design, data modeling, secure service development, database systems
- Has a focus on quality code, error handling, and high availability
- A thoughtful, pragmatic approach to solving technical problems in a fast-paced environment
- At least upper-intermediate level of spoken and written English
Extra Credit:
- Versed in Python coding and environments
- Experience with GCP systems
- Experience with applied cryptography, especially key management, TLS, or post-quantum algorithms
- Familiarity with agent-based architectures or systems that scan and orchestrate actions across distributed environments
- Knowledge of AI/ML systems, particularly LLM integration or agent-style reasoning patterns
- Experience managing LLM agents to increase both speed and quality of code generation and tests
- Exposure to security tools, vulnerability detection platforms, or compliance automation
- Prior experience working on developer-facing or infrastructure-heavy products
As part of Point Wild, you will:
Solve real customer problems. Point Wild’s point solutions allow consumers to address their immediate cyber protection needs. Our mandate is to continuously anticipate our customers’ evolving digital security needs to create best-in-class solutions aimed at keeping them safe.
See your impact. We are a scrappy, nimble organization where individual contributions are needed and valued. You will see your impact every day.
Accelerate your career. As we expand, you will have the opportunity to learn new technologies, products, and markets in a fast-paced, growth-oriented environment.
Most importantly, you’ll get to work with other talented people at a company where people matter. If you want to put your fingerprint on an organization and leapfrog your growth, this is the place for you.
In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Above and beyond discrimination or harassment based on “protected categories,” Point Wild is committed to being an inclusive community where all feel welcome. Whether blatant or hidden, barriers to success have no place at Point Wild.
Important privacy information for United States based job applicants can be found here.
Ready to apply?
Apply to Point Wild
OPSWAT, a global leader in IT, OT, and ICS critical infrastructure cybersecurity, delivers an end-to-end platform that gives public and private sector organizations and enterprises the critical advantage needed to protect their complex networks, secure their devices, and ensure compliance. Over the last 20 years our commitment to innovative technology has earned the trust of more than 1,700 organizations, governments, and institutions globally, solidifying our role in protecting the world’s critical infrastructure and securing our way of life.
The Product: MetaDefender Managed File Trasnfer
MetaDefender MFT Enterprise is the next-generation evolution of OPSWAT's Managed File Transfer solution — a complete architecture designed for scale, security, and the future. It is built to be:
- A modern, scalable, and resilient platform capable of serving millions of users across enterprise and SaaS deployments.
- A secure file exchange solution for both humans and systems, embedding OPSWAT's threat prevention technology — multiscanning, Deep CDR, and DLP — directly into every file flow.
- A future-ready foundation that supports cloud-native SaaS delivery alongside traditional on-premise enterprise deployments.
You will be one of the engineers building MFT Enterprise from the ground up — setting architecture patterns, defining quality standards, and shipping a platform trusted by governments and critical infrastructure operators worldwide.
The Position
At OPSWAT’s Technology Development Centre in Timisoara, we are looking for talented AI Native .NET Engineer to join our team working on one of our most strategic solutions: MetaDefender Secure Managed File Transfer (MFT). If you’re experienced in backend development, interested in cybersecurity, and excited to make real-world impact by protecting critical infrastructure, this is your opportunity!
In Timisoara, in the heart of a peaceful, friendly, historic city, we have created a modern, inspiring office environment that encourages collaboration, where friendly, direct relationships between colleagues and high-quality professional work are equally important. Using modern, innovative technologies, we work on products that truly contribute to making our world safer at one of the world's leading cybersecurity companies.
We support professional development through training, mentoring, and real opportunities for advancement. The Timisoara office offers the perfect balance of calm and professionalism – a modern environment, friendly people, and a strong team spirit.
If you want to work in a place where your knowledge is valued and you are treated as a person, then OPSWAT Timisoara is the place for you.
As an AI Native .NET Engineer, you use AI agents as core development tools — generating code, scaffolding tests, and reviewing outputs with a critical eye. You work within an established architectural framework, contribute features end-to-end, and grow toward broader ownership over time. You are measured by the quality of what you ship and the speed at which you grow, not the volume of your commits. You have solid .NET fundamentals and the instincts to catch what agents miss.
If you’re interested in working as an AI Native .NET Engineer at OPSWAT, please apply, and we will get in touch!
You Will Have The Opportunity to
- Deliver features end-to-end within a defined scope — work from clear requirements, write clean, tested .NET code, and drive your work to completion with growing accountability.
- Work with AI as a first-class collaborator — your primary workflow involves orchestrating agents to create specs, generate code and tests, verify results, and perform reviews. Delegate well-scoped tasks to agents, then review, validate, and own every line that ships.
- Participate in code reviews with a security-first lens, offering constructive feedback and holding the quality bar for both human-written and AI-generated code.
- Contribute to custom coding harnesses and test frameworks — work within established AI-assisted development scaffolding, and suggest improvements as you deepen your understanding of the codebase.
- Maintain and evolve the .NET Core codebase, continuously raising performance, scalability, and code quality as the product grows toward millions of users.
- Author and keep current AI context files for every service you own — machine-readable architecture docs that encode coding standards, architectural constraints, and forbidden patterns so agents produce consistent, safe, on-pattern code across the team.
- Support AI-native engineering practices for the MFT Enterprise team — contribute to playbooks, context file standards, and review norms as they evolve.
What We Are Looking For
- AI-Native Fluency: Hands-on experience using AI agents as core engineering tools — you approach daily development tasks with an AI-native mindset. Must show real work (PRs, commit history, or portfolio) where agents contributed to shipped features.
- Technical Excellence (.NET Core / C#): Solid proficiency in .NET / C# with a S.O.L.I.D understanding of programming principles, design patterns, and best practices. AI tools amplify strong fundamentals — they do not replace them.
- Mission-Focused Delivery: 2+ years experience developing scalable solutions, including familiarity with relational/document databases and modern CI/CD systems for seamless integration and delivery.
- Quality and Test Discipline: Focus on high-quality tested solutions — proficiency in unit testing with xUnit or equivalent. Uses AI agents to generate test scaffolding quickly, then validates that coverage is real and meaningful.
- Growth Mindset: Passion for continuous learning. The AI coding ecosystem evolves rapidly — new models, agents, and tooling patterns ship constantly. This role requires staying current across the landscape and actively improving team workflows as the toolchain matures.
It Would Be Nice If You Had
- Agent Discipline: Writes precise, unambiguous task specifications that agents can execute without re-prompting, and treats all AI-generated code as a junior engineer’s PR — reviewing for logic, security, edge-case handling, and architectural fit before anything ships.
- Async programming (.NET): Knowledge of asynchronous .NET patterns — async/await, TPL — with experience validating AI-generated async code for thread-safety in high-throughput scenarios.
- Cloud-native and containers: Hands-on with Docker, Kubernetes, and AWS/Azure/GCP — and experience using AI agents to script infrastructure and deployment automation tasks.
- Security review of AI-generated code: Security-first instincts for reviewing AI-generated code: spotting injection risks, insecure defaults, missing input validation, and privilege escalation vectors in file-handling and authentication code.
- AI context file authoring: Experience authoring AI context files (e.g., CLAUDE.md, .cursorrules, or equivalent) that encode architecture decisions and forbidden patterns for consistent, safe AI output across a team.
- AI in CI/CD pipelines: Familiarity with running AI agents inside CI/CD pipelines — auto-fixing lint, generating missing tests, or running safe migrations as pipeline steps.
- Personal projects: A home or personal project that demonstrates commitment to programming — including any AI-tooled projects that show how you work with agents.
Why You'll Love Working Here
- Work on a greenfield next generation platform — architecture decisions you make now will shape a product serving millions of users.
- Stable, growing international company background with an exceptional customer group across 50+ countries.
- Modern technology environment with active investment in AI-native engineering practices.
- Professional development through training, mentoring, and real opportunities for advancement.
- Romania: Timisoara office — modern environment, direct team culture, strong engineering community.
- Hungary: Veszprém Technology Development Centre — collaborative office in a historic city, friendly direct relationships, regular team events.
- Attractive compensation with regular performance assessments, and team activities.
OPSWAT is an equal opportunity employer. We celebrate diversity and are committed to providing an environment where equal employment opportunities are extended to all employees and applicants, free of discrimination and harassment of any type. All employment decisions are based on individual qualifications, job requirements, and business needs without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other category protected by federal, state, or local laws.
Recruiting Agencies: we do not accept unsolicited resumes from third party agencies for any of our open positions. To submit resumes for our jobs, there must be a recruiting contract approved by our legal team and endorsed by both parties. We are currently not accepting additional 3rd party agencies at this time.
Ready to apply?
Apply to OPSWAT
AI Native Senior .NET Engineer (on-site)
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OPSWAT, a global leader in IT, OT, and ICS critical infrastructure cybersecurity, delivers an end-to-end platform that gives public and private sector organizations and enterprises the critical advantage needed to protect their complex networks, secure their devices, and ensure compliance. Over the last 20 years our commitment to innovative technology has earned the trust of more than 1,700 organizations, governments, and institutions globally, solidifying our role in protecting the world’s critical infrastructure and securing our way of life.
The Product: MetaDefender MFT
MetaDefender MFT Enterprise is the next-generation evolution of OPSWAT's Managed File Transfer solution — a complete rearchitecture designed for scale, security, and the future. It is built to be:
- A modern, scalable, and resilient platform capable of serving millions of users across enterprise and SaaS deployments.
- A secure file exchange solution for both humans and systems, embedding OPSWAT's threat prevention technology — multiscanning, Deep CDR, and DLP — directly into every file flow.
- A future-ready foundation that supports cloud-native SaaS delivery alongside traditional on-premise enterprise deployments.
You will be one of the engineers building MFT Enterprise from the ground up — setting architecture patterns, defining quality standards, and shipping a platform trusted by governments and critical infrastructure operators worldwide.
The Position
At OPSWAT’s Technology Development Centre in Timisoara, we are looking for talented AI Native Senior .NET Engineer to join our team working on one of our most strategic solutions: MetaDefender Secure Managed File Transfer (MFT). If you’re experienced in backend development, interested in cybersecurity, and excited to make real-world impact by protecting critical infrastructure, this is your opportunity!
As an AI Native Senior .NET Engineer, you orchestrate a fleet of AI agents to architect, build, and deploy production-grade systems, and AI agents are a core part of your daily workflow. You build complex multi-service systems, create custom coding harnesses and test frameworks, and reverse-engineer existing systems entirely through AI workflows. You are measured by the speed of deployment and the robustness of what you ship, not the volume of your commits. You think in terms of “how do these pieces fit together as a system” and blend product, design, and analytical thinking into your delivery.
If you’re interested in working as an AI Native Senior .NET Engineer at OPSWAT, please apply, and we will get in touch!
You Will Have the Opportunity to
- Take ownership of features from concept to delivery: write precise specifications, work closely with teammates and stakeholders to refine requirements, and drive your work through to production with full accountability.
- Work with AI as a first-class collaborator — your primary workflow involves orchestrating agents to create specs, generate code and tests, verify results, and perform reviews. Delegate well-scoped tasks to agents, then review, validate, and own every line that ships.
- Participate in code reviews with a security-first lens, offering constructive feedback and holding the quality bar for both human-written and AI-generated code.
- Create custom coding harnesses and test frameworks for structured, repeatable AI-assisted development — giving the team reliable scaffolding that agents can operate within safely and consistently.
- Maintain and evolve the .NET Core codebase, continuously raising performance, scalability, and code quality as the product grows toward millions of users.
- Author and keep current AI context files for every service you own — machine-readable architecture docs that encode coding standards, architectural constraints, and forbidden patterns so agents produce consistent, safe, on-pattern code across the team.
- Help define and codify AI-native engineering practices for the MFT Enterprise team — establishing playbooks, context file standards, and review norms the broader engineering organization can adopt.
What We Are Looking For
- AI-Native Fluency: Deep, hands-on experience integrating AI agents as core engineering tools, not add-ons — you approach every problem with an AI-native mindset. Must show real work (PRs, commit history, or portfolio) where agents drove backend velocity
- Technical Excellence (.NET Core / C#): Strong proficiency in .NET / C# with a S.O.L.I.D understanding of programming principles, design patterns, and best practices. AI tools amplify strong fundamentals — they do not replace them.
- Mission-Focused Delivery: 5+ years experience developing scalable solutions, including familiarity with relational/document databases and modern CI/CD systems for seamless integration and delivery.
- Quality and Test Discipline: Focus on high-quality tested solutions — proficiency in unit testing with xUnit or equivalent. Uses AI agents to generate test scaffolding quickly, then validates that coverage is real and meaningful.
- Growth Mindset: Passion for continuous learning. The AI coding ecosystem evolves rapidly — new models, agents, and tooling patterns ship constantly. This role requires staying current across the landscape and actively improving team workflows as the toolchain matures.
It Would Be Nice If You Had
- Agent Discipline: Writes precise, unambiguous task specifications that agents can execute without re-prompting, and treats all AI-generated code as a junior engineer’s PR — reviewing for logic, security, edge-case handling, and architectural fit before anything ships.
- Async programming (.NET): Knowledge of asynchronous .NET patterns — async/await, TPL — with experience validating AI-generated async code for thread-safety in high-throughput scenarios.
- Cloud-native and containers: Hands-on with Docker, Kubernetes, and AWS/Azure/GCP — and experience using AI agents to script infrastructure and deployment automation tasks.
- Security review of AI-generated code: Security-first instincts for reviewing AI-generated code: spotting injection risks, insecure defaults, missing input validation, and privilege escalation vectors in file-handling and authentication code.
- AI context file authoring: Experience authoring AI context files (e.g., CLAUDE.md, .cursorrules, or equivalent) that encode architecture decisions and forbidden patterns for consistent, safe AI output across a team.
- AI in CI/CD pipelines: Familiarity with running AI agents inside CI/CD pipelines — auto-fixing lint, generating missing tests, or running safe migrations as pipeline steps.
- Personal projects: A home or personal project that demonstrates commitment to programming — including any AI-tooled projects that show how you work with agents.
Why You'll Love Working Here
- Work on a greenfield next generation platform — architecture decisions you make now will shape a product serving millions of users.
- Stable, growing international company background with an exceptional customer group across 50+ countries.
- Modern technology environment with active investment in AI-native engineering practices.
- Professional development through training, mentoring, and real opportunities for advancement.
- Romania: Timisoara office — modern environment, direct team culture, strong engineering community.
- Hungary: Veszprém Technology Development Centre — collaborative office in a historic city, friendly direct relationships, regular team events.
- Attractive compensation with regular performance assessments, and team activities.
OPSWAT is an equal opportunity employer. We celebrate diversity and are committed to providing an environment where equal employment opportunities are extended to all employees and applicants, free of discrimination and harassment of any type. All employment decisions are based on individual qualifications, job requirements, and business needs without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other category protected by federal, state, or local laws.
Recruiting Agencies: we do not accept unsolicited resumes from third party agencies for any of our open positions. To submit resumes for our jobs, there must be a recruiting contract approved by our legal team and endorsed by both parties. We are currently not accepting additional 3rd party agencies at this time.
Ready to apply?
Apply to OPSWAT
Associate AI Engineer
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Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Project
As an Associate AI Engineer, you will join the team building internal LLM projects, ranging from client-facing demos to cutting-edge R&D initiatives. These projects will give you hands-on experience and prepare you to contribute to commercial client engagements.
What You’ll Do
- Build LLM and Agentic applications
- Brainstorm ideas for those projects and their implementation
- Take part in the full cycle: from ideation and brainstorming, through implementation, to testing and evaluation of the solutions
- You will have the opportunity to learn and develop your skills by working together with other AI Engineers (ranging from Associate to Lead)
- Participate in research of cutting-edge technologies and products
What You Bring
- Strong fundamentals in software development and problem-solving (Python preferred)
- Experience working in a Scrum team and writing production code
- Experience in using AI and Agentic tools for coding
- Knowledge of SDLC process
- Bachelor’s degree in STEM (or equivalent hands-on experience or bootcamp) as minimum (master's or PhD degree a plus)
- DevOps/MLOps experience including Docker
- Business-oriented, results-driven mindset
- Strong communication skills
- Curiosity and willingness to learn AI/LLM technologies
Nice to have
- Familiarity with cloud infrastructure (AWS/GCP/Azure)
- Knowledge of LLM Python packages: LangChain, LangGraph, LangFuse, vector DBs
- Knowledge of ML Python packages: PyTorch, scikit-learn
- NLP and language modelling knowledge
- Research interest and experience
- Good grasp of mathematics and statistics, including:
- Linear algebra, probability, and basic calculus
- Statistical testing and basic modeling techniques
English level
Upper-intermediate
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel
Associate AI Engineer
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Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Project
As an Associate AI Engineer, you will join the team building internal LLM projects, ranging from client-facing demos to cutting-edge R&D initiatives. These projects will give you hands-on experience and prepare you to contribute to commercial client engagements.
What You’ll Do
- Build LLM and Agentic applications
- Brainstorm ideas for those projects and their implementation
- Take part in the full cycle: from ideation and brainstorming, through implementation, to testing and evaluation of the solutions
- You will have the opportunity to learn and develop your skills by working together with other AI Engineers (ranging from Associate to Lead)
- Participate in research of cutting-edge technologies and products
What You Bring
- Strong fundamentals in software development and problem-solving (Python preferred)
- Experience working in a Scrum team and writing production code
- Experience in using AI and Agentic tools for coding
- Knowledge of SDLC process
- Bachelor’s degree in STEM (or equivalent hands-on experience or bootcamp) as minimum (master's or PhD degree a plus)
- DevOps/MLOps experience including Docker
- Business-oriented, results-driven mindset
- Strong communication skills
- Curiosity and willingness to learn AI/LLM technologies
Nice to have
- Familiarity with cloud infrastructure (AWS/GCP/Azure)
- Knowledge of LLM Python packages: LangChain, LangGraph, LangFuse, vector DBs
- Knowledge of ML Python packages: PyTorch, scikit-learn
- NLP and language modelling knowledge
- Research interest and experience
- Good grasp of mathematics and statistics, including:
- Linear algebra, probability, and basic calculus
- Statistical testing and basic modeling techniques
English level
Upper-intermediate
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel
OPSWAT, a global leader in IT, OT, and ICS critical infrastructure cybersecurity, delivers an end-to-end platform that gives public and private sector organizations and enterprises the critical advantage needed to protect their complex networks, secure their devices, and ensure compliance. Over the last 20 years our commitment to innovative technology has earned the trust of more than 1,700 organizations, governments, and institutions globally, solidifying our role in protecting the world’s critical infrastructure and securing our way of life.
In this role, you will design, build, and improve machine learning models for cybersecurity and malware-related use cases. You will focus on experimenting with model architectures, preparing and evaluating data, and supporting the deployment and integration of ML solutions into production systems. You will work closely with engineers and product teams to ensure models are robust, scalable, and impactful.
If you’re interested in working as a Machine Learning Engineer at OPSWAT, please apply, and we will get in touch!
You Will Have the Opportunity to
-
Train, test, and optimize machine learning models for cybersecurity and malware detection use cases.
-
Experiment with and evaluate different model architectures, including classical ML and deep learning approaches.
-
Perform data exploration, feature engineering, and data preprocessing on large, complex datasets (structured and unstructured).
-
Design and execute model evaluation pipelines, including performance analysis, validation strategies, and benchmarking.
-
Collaborate with data engineers and threat researchers to improve data quality, feature sets, and model performance.
-
Support the deployment, integration, and monitoring of ML models in production environments.
-
Contribute to building scalable ML workflows and improving model development lifecycle practices.
-
Work with cross-functional teams to translate business and product requirements into ML solutions.
What We Are Looking For
-
Degree in Computer Science, Mathematics, Engineering, AI, or a related field.
-
Solid understanding of machine learning algorithms, model training, evaluation techniques, and optimization methods.
-
Hands-on experience with Python and common ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
-
Experience with data exploration, feature engineering, and working with real-world datasets.
-
Familiarity with model evaluation metrics and validation strategies.
-
Basic understanding of deploying and integrating ML models into production systems.
-
Experience with cloud platforms (AWS preferred) is a plus.
-
Familiarity with MLOps practices and tools is an advantage.
-
Strong problem-solving skills, attention to detail, and willingness to experiment and learn.
-
Ability to communicate findings and collaborate effectively within cross-functional teams.
OPSWAT is an equal opportunity employer. We celebrate diversity and are committed to providing an environment where equal employment opportunities are extended to all employees and applicants, free of discrimination and harassment of any type. All employment decisions are based on individual qualifications, job requirements, and business needs without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other category protected by federal, state, or local laws.
Recruiting Agencies: we do not accept unsolicited resumes from third party agencies for any of our open positions. To submit resumes for our jobs, there must be a recruiting contract approved by our legal team and endorsed by both parties. We are currently not accepting additional 3rd party agencies at this time.
Ready to apply?
Apply to OPSWAT
OPSWAT, a global leader in IT, OT, and ICS critical infrastructure cybersecurity, delivers an end-to-end platform that gives public and private sector organizations and enterprises the critical advantage needed to protect their complex networks, secure their devices, and ensure compliance. Over the last 20 years our commitment to innovative technology has earned the trust of more than 1,700 organizations, governments, and institutions globally, solidifying our role in protecting the world’s critical infrastructure and securing our way of life.
OPSWAT, a global leader in IT, OT, and ICS critical infrastructure cybersecurity, delivers an end-to-end platform that gives public and private sector organizations and enterprises the critical advantage needed to protect their complex networks, secure their devices, and ensure compliance. Over the last 20 years our commitment to innovative technology has earned the trust of more than 1,700 organizations, governments, and institutions globally, solidifying our role in protecting the world’s critical infrastructure and securing our way of life.
What You Will Be Doing
- Design, build, and maintain robust data pipelines for real-time and batch processing
- Develop and optimize data architectures that support data ingestion, transformation, enrichment, and storage, ensuring scalability and efficiency, using AWS technologies
- Set up and maintain AWS SageMaker environments for model development and deployment
- Create and manage test datasets with proper versioning techniques using tools
- Implement monitoring, logging, and alerting for data pipelines to ensure reliability, quality, and accuracy of data outputs
- Collaborate with Research and ML Engineers to streamline the ML workflow
- Ensure ML pipelines and model deployments meet security and compliance standards aligned with OPSWAT’s critical infrastructure cybersecurity context
What We Need From You
- 3-5 years of experience in data engineering, platform engineering, or MLOps roles
- Strong proficiency in Python and AWS cloud services
- Experience with containerization (Docker) and orchestration tools
- Understanding of ML model deployment and monitoring best practices
- Experience with AWS SageMaker or similar ML platforms
- Familiarity with data preparation for machine learning workflows
Nice to Have
- Experience with Rust programming language
- Knowledge of Kafka, Kinesis, or other streaming platforms
- Experience with additional data orchestration tools and frameworks
- Advanced capabilities in data visualization tools like PowerBI, Tableau, or similar
- Knowledge of infrastructure-as-code tools like Terraform or CloudFormation
- Experience with Feature Stores and ML metadata tracking systems
- Familiarity with ML experiment tracking tools (MLflow, Weights & Biases)
- A passion for driving data-driven decisions and fostering a collaborative data culture
OPSWAT is an equal opportunity employer. We celebrate diversity and are committed to providing an environment where equal employment opportunities are extended to all employees and applicants, free of discrimination and harassment of any type. All employment decisions are based on individual qualifications, job requirements, and business needs without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other category protected by federal, state, or local laws.
Recruiting Agencies: we do not accept unsolicited resumes from third party agencies for any of our open positions. To submit resumes for our jobs, there must be a recruiting contract approved by our legal team and endorsed by both parties. We are currently not accepting additional 3rd party agencies at this time.
Ready to apply?
Apply to OPSWAT
OPSWAT, a global leader in IT, OT, and ICS critical infrastructure cybersecurity, delivers an end-to-end platform that gives public and private sector organizations and enterprises the critical advantage needed to protect their complex networks, secure their devices, and ensure compliance. Over the last 20 years our commitment to innovative technology has earned the trust of more than 1,700 organizations, governments, and institutions globally, solidifying our role in protecting the world’s critical infrastructure and securing our way of life.
The Product: MetaDefender MFT
MetaDefender MFT Enterprise is the next-generation evolution of OPSWAT's Managed File Transfer solution — a complete rearchitecture designed for scale, security, and the future. It is built to be:
- A modern, scalable, and resilient platform capable of serving millions of users across enterprise and SaaS deployments.
- A secure file exchange solution for both humans and systems, embedding OPSWAT's threat prevention technology — multiscanning, Deep CDR, and DLP — directly into every file flow.
- A future-ready foundation that supports cloud-native SaaS delivery alongside traditional on-premise enterprise deployments.
You will be one of the engineers building MFT Enterprise from the ground up — setting architecture patterns, defining quality standards, and shipping a platform trusted by governments and critical infrastructure operators worldwide.
The Position
At OPSWAT’s Technology Development Centre in Veszprém, we are looking for talented AI Native Senior .NET Engineer to join our team working on one of our most strategic solutions: MetaDefender Secure Managed File Transfer (MFT). If you’re experienced in backend development, interested in cybersecurity, and excited to make real-world impact by protecting critical infrastructure, this is your opportunity!
In Veszprém, in the heart of a peaceful, friendly, historic city, we have created a modern, inspiring office environment that encourages collaboration, where friendly, direct relationships between colleagues and high-quality professional work are equally important. Using modern, innovative technologies, we work on products that truly contribute to making our world safer at one of the world's leading cybersecurity companies.
We support professional development through training, mentoring, and real opportunities for advancement. The Veszprém office offers the perfect balance of calm and professionalism – a modern environment, friendly people, and a strong team spirit.
If you want to work in a place where your knowledge is valued and you are treated as a person, then OPSWAT Veszprém is the place for you.
As an AI Native Senior .NET Engineer, you orchestrate a fleet of AI agents to architect, build, and deploy production-grade systems, and AI agents are a core part of your daily workflow. You build complex multi-service systems, create custom coding harnesses and test frameworks, and reverse-engineer existing systems entirely through AI workflows. You are measured by the speed of deployment and the robustness of what you ship, not the volume of your commits. You think in terms of “how do these pieces fit together as a system” and blend product, design, and analytical thinking into your delivery.
If you’re interested in working as an AI Native Senior .NET Engineer at OPSWAT, please apply, and we will get in touch!
You Will Have the Opportunity to
- Take ownership of features from concept to delivery: write precise specifications, work closely with teammates and stakeholders to refine requirements, and drive your work through to production with full accountability.
- Work with AI as a first-class collaborator — your primary workflow involves orchestrating agents to create specs, generate code and tests, verify results, and perform reviews. Delegate well-scoped tasks to agents, then review, validate, and own every line that ships.
- Participate in code reviews with a security-first lens, offering constructive feedback and holding the quality bar for both human-written and AI-generated code.
- Create custom coding harnesses and test frameworks for structured, repeatable AI-assisted development — giving the team reliable scaffolding that agents can operate within safely and consistently.
- Maintain and evolve the .NET Core codebase, continuously raising performance, scalability, and code quality as the product grows toward millions of users.
- Author and keep current AI context files for every service you own — machine-readable architecture docs that encode coding standards, architectural constraints, and forbidden patterns so agents produce consistent, safe, on-pattern code across the team.
- Help define and codify AI-native engineering practices for the MFT Enterprise team — establishing playbooks, context file standards, and review norms the broader engineering organization can adopt.
What We Are Looking For
- AI-Native Fluency: Deep, hands-on experience integrating AI agents as core engineering tools, not add-ons — you approach every problem with an AI-native mindset. Must show real work (PRs, commit history, or portfolio) where agents drove backend velocity
- Technical Excellence (.NET Core / C#): Strong proficiency in .NET / C# with a S.O.L.I.D understanding of programming principles, design patterns, and best practices. AI tools amplify strong fundamentals — they do not replace them.
- Mission-Focused Delivery: 5+ years experience developing scalable solutions, including familiarity with relational/document databases and modern CI/CD systems for seamless integration and delivery.
- Quality and Test Discipline: Focus on high-quality tested solutions — proficiency in unit testing with xUnit or equivalent. Uses AI agents to generate test scaffolding quickly, then validates that coverage is real and meaningful.
- Growth Mindset: Passion for continuous learning. The AI coding ecosystem evolves rapidly — new models, agents, and tooling patterns ship constantly. This role requires staying current across the landscape and actively improving team workflows as the toolchain matures.
It Would Be Nice If You Had
- Agent Discipline: Writes precise, unambiguous task specifications that agents can execute without re-prompting, and treats all AI-generated code as a junior engineer’s PR — reviewing for logic, security, edge-case handling, and architectural fit before anything ships.
- Async programming (.NET): Knowledge of asynchronous .NET patterns — async/await, TPL — with experience validating AI-generated async code for thread-safety in high-throughput scenarios.
- Cloud-native and containers: Hands-on with Docker, Kubernetes, and AWS/Azure/GCP — and experience using AI agents to script infrastructure and deployment automation tasks.
- Security review of AI-generated code: Security-first instincts for reviewing AI-generated code: spotting injection risks, insecure defaults, missing input validation, and privilege escalation vectors in file-handling and authentication code.
- AI context file authoring: Experience authoring AI context files (e.g., CLAUDE.md, .cursorrules, or equivalent) that encode architecture decisions and forbidden patterns for consistent, safe AI output across a team.
- AI in CI/CD pipelines: Familiarity with running AI agents inside CI/CD pipelines — auto-fixing lint, generating missing tests, or running safe migrations as pipeline steps.
- Personal projects: A home or personal project that demonstrates commitment to programming — including any AI-tooled projects that show how you work with agents.
Why You'll Love Working Here
- Work on a greenfield next generation platform — architecture decisions you make now will shape a product serving millions of users.
- Stable, growing international company background with an exceptional customer group across 50+ countries.
- Modern technology environment with active investment in AI-native engineering practices.
- Professional development through training, mentoring, and real opportunities for advancement.
- Romania: Timisoara office — modern environment, direct team culture, strong engineering community.
- Hungary: Veszprém Technology Development Centre — collaborative office in a historic city, friendly direct relationships, regular team events.
- Attractive compensation with regular performance assessments, and team activities.
OPSWAT is an equal opportunity employer. We celebrate diversity and are committed to providing an environment where equal employment opportunities are extended to all employees and applicants, free of discrimination and harassment of any type. All employment decisions are based on individual qualifications, job requirements, and business needs without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other category protected by federal, state, or local laws.
Recruiting Agencies: we do not accept unsolicited resumes from third party agencies for any of our open positions. To submit resumes for our jobs, there must be a recruiting contract approved by our legal team and endorsed by both parties. We are currently not accepting additional 3rd party agencies at this time.
Ready to apply?
Apply to OPSWAT
OPSWAT, a global leader in IT, OT, and ICS critical infrastructure cybersecurity, delivers an end-to-end platform that gives public and private sector organizations and enterprises the critical advantage needed to protect their complex networks, secure their devices, and ensure compliance. Over the last 20 years our commitment to innovative technology has earned the trust of more than 1,700 organizations, governments, and institutions globally, solidifying our role in protecting the world’s critical infrastructure and securing our way of life.
The Product: MetaDefender Managed File Trasnfer
MetaDefender MFT Enterprise is the next-generation evolution of OPSWAT's Managed File Transfer solution — a complete rearchitecture designed for scale, security, and the future. It is built to be:
- A modern, scalable, and resilient platform capable of serving millions of users across enterprise and SaaS deployments.
- A secure file exchange solution for both humans and systems, embedding OPSWAT's threat prevention technology — multiscanning, Deep CDR, and DLP — directly into every file flow.
- A future-ready foundation that supports cloud-native SaaS delivery alongside traditional on-premise enterprise deployments.
You will be one of the engineers building MFT Enterprise from the ground up — setting architecture patterns, defining quality standards, and shipping a platform trusted by governments and critical infrastructure operators worldwide.
The Position
At OPSWAT’s Technology Development Centre in Veszprém, we are looking for talented AI Native .NET Engineer to join our team working on one of our most strategic solutions: MetaDefender Secure Managed File Transfer (MFT). If you’re experienced in backend development, interested in cybersecurity, and excited to make real-world impact by protecting critical infrastructure, this is your opportunity!
In Veszprém, in the heart of a peaceful, friendly, historic city, we have created a modern, inspiring office environment that encourages collaboration, where friendly, direct relationships between colleagues and high-quality professional work are equally important. Using modern, innovative technologies, we work on products that truly contribute to making our world safer at one of the world's leading cybersecurity companies.
We support professional development through training, mentoring, and real opportunities for advancement. The Veszprém office offers the perfect balance of calm and professionalism – a modern environment, friendly people, and a strong team spirit.
If you want to work in a place where your knowledge is valued and you are treated as a person, then OPSWAT Veszprém is the place for you.
As an AI Native .NET Engineer, you use AI agents as core development tools — generating code, scaffolding tests, and reviewing outputs with a critical eye. You work within an established architectural framework, contribute features end-to-end, and grow toward broader ownership over time. You are measured by the quality of what you ship and the speed at which you grow, not the volume of your commits. You have solid .NET fundamentals and the instincts to catch what agents miss.
If you’re interested in working as an AI Native .NET Engineer at OPSWAT, please apply, and we will get in touch!
You Will Have The Opportunity to
- Deliver features end-to-end within a defined scope — work from clear requirements, write clean, tested .NET code, and drive your work to completion with growing accountability.
- Work with AI as a first-class collaborator — your primary workflow involves orchestrating agents to create specs, generate code and tests, verify results, and perform reviews. Delegate well-scoped tasks to agents, then review, validate, and own every line that ships.
- Participate in code reviews with a security-first lens, offering constructive feedback and holding the quality bar for both human-written and AI-generated code.
- Contribute to custom coding harnesses and test frameworks — work within established AI-assisted development scaffolding, and suggest improvements as you deepen your understanding of the codebase.
- Maintain and evolve the .NET Core codebase, continuously raising performance, scalability, and code quality as the product grows toward millions of users.
- Author and keep current AI context files for every service you own — machine-readable architecture docs that encode coding standards, architectural constraints, and forbidden patterns so agents produce consistent, safe, on-pattern code across the team.
- Support AI-native engineering practices for the MFT Enterprise team — contribute to playbooks, context file standards, and review norms as they evolve.
What We Are Looking For
- AI-Native Fluency: Hands-on experience using AI agents as core engineering tools — you approach daily development tasks with an AI-native mindset. Must show real work (PRs, commit history, or portfolio) where agents contributed to shipped features.
- Technical Excellence (.NET Core / C#): Solid proficiency in .NET / C# with a S.O.L.I.D understanding of programming principles, design patterns, and best practices. AI tools amplify strong fundamentals — they do not replace them.
- Mission-Focused Delivery: 2+ years experience developing scalable solutions, including familiarity with relational/document databases and modern CI/CD systems for seamless integration and delivery.
- Quality and Test Discipline: Focus on high-quality tested solutions — proficiency in unit testing with xUnit or equivalent. Uses AI agents to generate test scaffolding quickly, then validates that coverage is real and meaningful.
- Growth Mindset: Passion for continuous learning. The AI coding ecosystem evolves rapidly — new models, agents, and tooling patterns ship constantly. This role requires staying current across the landscape and actively improving team workflows as the toolchain matures.
It Would Be Nice If You Had
- Agent Discipline: Writes precise, unambiguous task specifications that agents can execute without re-prompting, and treats all AI-generated code as a junior engineer’s PR — reviewing for logic, security, edge-case handling, and architectural fit before anything ships.
- Async programming (.NET): Knowledge of asynchronous .NET patterns — async/await, TPL — with experience validating AI-generated async code for thread-safety in high-throughput scenarios.
- Cloud-native and containers: Hands-on with Docker, Kubernetes, and AWS/Azure/GCP — and experience using AI agents to script infrastructure and deployment automation tasks.
- Security review of AI-generated code: Security-first instincts for reviewing AI-generated code: spotting injection risks, insecure defaults, missing input validation, and privilege escalation vectors in file-handling and authentication code.
- AI context file authoring: Experience authoring AI context files (e.g., CLAUDE.md, .cursorrules, or equivalent) that encode architecture decisions and forbidden patterns for consistent, safe AI output across a team.
- AI in CI/CD pipelines: Familiarity with running AI agents inside CI/CD pipelines — auto-fixing lint, generating missing tests, or running safe migrations as pipeline steps.
- Personal projects: A home or personal project that demonstrates commitment to programming — including any AI-tooled projects that show how you work with agents.
Why You'll Love Working Here
- Work on a greenfield next generation platform — architecture decisions you make now will shape a product serving millions of users.
- Stable, growing international company background with an exceptional customer group across 50+ countries.
- Modern technology environment with active investment in AI-native engineering practices.
- Professional development through training, mentoring, and real opportunities for advancement.
- Romania: Timisoara office — modern environment, direct team culture, strong engineering community.
- Hungary: Veszprém Technology Development Centre — collaborative office in a historic city, friendly direct relationships, regular team events.
- Attractive compensation with regular performance assessments, and team activities.
OPSWAT is an equal opportunity employer. We celebrate diversity and are committed to providing an environment where equal employment opportunities are extended to all employees and applicants, free of discrimination and harassment of any type. All employment decisions are based on individual qualifications, job requirements, and business needs without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other category protected by federal, state, or local laws.
Recruiting Agencies: we do not accept unsolicited resumes from third party agencies for any of our open positions. To submit resumes for our jobs, there must be a recruiting contract approved by our legal team and endorsed by both parties. We are currently not accepting additional 3rd party agencies at this time.
Ready to apply?
Apply to OPSWAT
Senior Embedded Software Engineer
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Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education.
Complexity in consumer systems is growing exponentially, creating new challenges in sensing, data processing, and system intelligence. Leveraging advanced sensor and signal processing technologies, we are addressing these challenges with innovative approaches. We are looking for an energetic Senior Firmware Engineer who can bridge these technologies with novel software solutions, algorithms, and machine learning primitives.
Required skills:
- Ability to work on communication stacks, in-depth domain knowledge on Bluetooth Classic, Bluetooth LE, Bluetooth Audio, Multipoint, Auracast, Controller stack protocols, BLE profiles/Services.
- Ability to work on system level architecture; ability to create and maintain system level solutions comprised of state-of-the-art hardware and software components and provide documentation for our products.
- Development experience with functions and protocols such as TWS Role switch, fast pairing, voice assistants, Conformance and Teams certifications.
- Ability to understand complex customer application ecosystems and integrate our product offerings.
- Prior experience in developing and debugging all aspects of system software. This includes understanding overall system performance from both a hardware and software perspective.
Qualifications:
- BS or MS in Electrical or Computer Engineering or related field
- 5+ years of Industrial experience in firmware development
- Strong C/C++ and Python programming skills
- Strong knowledge of digital signal processing (DSP) and algorithm development experience
- Experience with communication stacks including Bluetooth classic, BLE USB, SDIO WiFi, Bluetooth & WiFi interoperability.
- Strong knowledge of Tensilica HiFi, Kalimba DSP cores and Bluetooth Audio Frameworks
- Hands on experience with integrating, building, and testing of multi-threaded applications.
- Experience with embedded real-time operating systems
- Experience with SCM tools (GIT, SVN, Clearcase, Perforce, etc.)
- Strong analytical and problem-solving abilities
- Experience with defect tracking tools (Jira, Bugzilla, etc.)
- Strong working knowledge of a software development process (e.g., Agile, Waterfall)
- Application of Object-Oriented concepts and methodologies
- Strong system level knowledge in audio, video and TWS domains
What we offer:
- Dynamic and supporting international teams.
- Regular assessments and performance reviews. You will have the opportunity for promotion, bonuses and a raise in accordance with the pace at which you develop and your performance.
- Remote, hybrid or office work.
- 20-25 vacation days per year.
- Equipment for work, laptop and all necessary additions.
- Access to training and courses.
- Private health insurance.
- FIT Pass card for many sports facilities.
Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
Candidate Privacy Policy
Orion Systems Integrators, LLC and its subsidiaries and its affiliates (collectively, “Orion,” “we” or “us”) are committed to protecting your privacy. This Candidate Privacy Policy (orioninc.com) (“Notice”) explains:
- What information we collect during our application and recruitment process and why we collect it;
- How we handle that information; and
- How to access and update that information.
Your use of Orion services is governed by any applicable terms in this notice and our general Privacy Policy.
Ready to apply?
Apply to Orion Innovation
Associate AI Engineer
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Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Project
As an Associate AI Engineer, you will join the team building internal LLM projects, ranging from client-facing demos to cutting-edge R&D initiatives. These projects will give you hands-on experience and prepare you to contribute to commercial client engagements.
What You’ll Do
- Build LLM and Agentic applications
- Brainstorm ideas for those projects and their implementation
- Take part in the full cycle: from ideation and brainstorming, through implementation, to testing and evaluation of the solutions
- You will have the opportunity to learn and develop your skills by working together with other AI Engineers (ranging from Associate to Lead)
- Participate in research of cutting-edge technologies and products
What You Bring
- Strong fundamentals in software development and problem-solving (Python preferred)
- Experience working in a Scrum team and writing production code
- Experience in using AI and Agentic tools for coding
- Knowledge of SDLC process
- Bachelor’s degree in STEM (or equivalent hands-on experience or bootcamp) as minimum (master's or PhD degree a plus)
- DevOps/MLOps experience including Docker
- Business-oriented, results-driven mindset
- Strong communication skills
- Curiosity and willingness to learn AI/LLM technologies
Nice to have
- Familiarity with cloud infrastructure (AWS/GCP/Azure)
- Knowledge of LLM Python packages: LangChain, LangGraph, LangFuse, vector DBs
- Knowledge of ML Python packages: PyTorch, scikit-learn
- NLP and language modelling knowledge
- Research interest and experience
- Good grasp of mathematics and statistics, including:
- Linear algebra, probability, and basic calculus
- Statistical testing and basic modeling techniques
English level
Upper-intermediate
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
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Senior Domain Engineering Specialist - VDP
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Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.
About the Role
The ideal candidate will be naturally collaborative, articulate, extremely organized, have a solid technical understanding of Veeam products, and motivated by maximizing customer success and outcomes. Soft skills combined with technical skills are key in this role. You will partner with Customer Success Engineers (CSEs) and Account Executives (AEs) to drive customer outcomes across security-related products and use cases within the Veeam Data Platform (VDP). You’ll lead readiness checks, data modeling, and risk conversations with CISO/CIO stakeholders, while monitoring telemetry and maturity against the Veeam Data Resilience Maturity Model (DRMM) to optimize posture and identify expansion opportunities.
What You’ll Do
- Engage customers on security-related products, architectures, and risk topics across the Veeam Data Platform (VDP).
- Run readiness checks and lead data modeling to validate solution design and accelerate decisions.
- Monitor attack surfaces and vulnerabilities (including DRMM scoring), track telemetry or recurring inspection signals, report trends, and capture potential health checks.
- Validate designs to de-risk adoption and accelerate time to value.
- Identify and articulate expansion opportunities; review consumption trends and schedule checkpoint reviews (with or without AE coordination).
- Engage CISO/CIO stakeholders for risk, status, and opportunity discussions; synthesize inputs from account health and CSE-led QBRs.
- Support AEs on security- and AI-driven expansion motions; influence roadmap priorities with CSE counterparts.
- Operate as a pooled resource covering Enterprise and Commercial-Named accounts (generally $100K+ ARR), typically at a 1 Security Success Engineer to 6–8 CSE coverage ratio.
- Note: Not the primary owner for Onboarding motions nor directly responsible for Renewals
What You’ll Bring
- 5+ years of experience in engineering architecture for cybersecurity-related products (e.g., Security Engineer/Architect, Cloud Solution Architect, MLOps/ML Engineer).
- Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical field; advanced degree is a plus.
- Relevant certifications (e.g., CompTIA Security+, CISSP, or equivalent).
- Expertise in data security and governance, including DSPM/DLP; familiarity with AI/ML architectures.
- Demonstrated ability to engage CISO/CIO stakeholders on risk, resilience, and modernization roadmaps.
- Hands-on experience with solution design, POCs, telemetry monitoring, and maturity modeling (DRMM familiarity is a plus).
- Strong communication, stakeholder management, and cross-functional collaboration skills.
- VMCE certification (can be completed after joining)
What You’ll Get
- 21 annual vacation days, additional days based on tenure, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
- Private health, dental, and vision insurance for employees and dependents, including outpatient care, hospitalization, pregnancy monitoring, and psychology support
- Monthly lifestyle and daily meal benefits: 40 RON/day via Edenred and 600 RON/month through a flexible cafeteria platform
- Life insurance (2× annual gross salary), critical illness, and disability coverage, plus vision reimbursement
- Free access to Bookster library platform for borrowing your favorite books for free
- Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops and learning events like our annual Global Day of Learning
Please note: If an applicant is permanently located outside of Romania, Veeam reserves the right to decline the application for this position.
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Please note that any personal data collected from you during the recruitment process will be processed in accordance with our Recruiting Privacy Notice.
The Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to us, will be processed by us in connection with our recruitment processes.
By applying for this position, you consent to the processing of your personal data in accordance with our Recruiting Privacy Notice.
By submitting your application, you acknowledge that the information provided in your job application and any supporting documents is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification of information may result in disqualification from consideration for employment or, if discovered after employment begins, termination of employment.
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Senior DevOps Engineer
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What Makes Us Unique
At Cloudbeds, we're not just building software, we’re transforming hospitality. Our intelligently designed platform powers properties across 150 countries, processing billions in bookings annually. From independent properties to hotel groups, we help hoteliers transform operations and uplevel their commercial strategy through a unified platform that integrates with hundreds of partners. And we do it with a completely remote team. Imagine working alongside global innovators to build AI-powered solutions that solve hoteliers' biggest challenges. Since our founding in 2012, we've become the World's Best Hotel PMS Solutions Provider and landed on Deloitte's Technology Fast 500 again in 2024 – but we're just getting started.
How You'll Make an Impact:
As a Senior DevOps Engineer at Cloudbeds, your goal is to constantly improve and scale our SaaS platform to deliver an exceptional experience to hoteliers and their guests worldwide. You'll own the creation, monitoring, automation, and support of our cloud infrastructure and delivery pipelines — enabling product teams to ship high-quality software with speed and confidence. Working within a bottom-up culture that values healthy debate and collaborative problem-solving, you'll have real influence over architecture decisions and the opportunity to shape how we scale infrastructure for one of the fastest-growing hospitality technology platforms in the world.
Our Infrastructure Team:
Our Infrastructure team is made up of engineers who take genuine pride in their craft, owning projects end-to-end and holding themselves to a high bar. We're passionate about technology and constantly pushing to improve our stack, not just maintain it. If you thrive in an environment where attention to detail matters, great communication is a given, and you're comfortable challenging the status quo to make things better, you'll feel right at home here.
What You Bring to the Team:
- Architect, improve, and scale Cloudbeds' cloud infrastructure on AWS, with a focus on reliability, security, and performance
- Build and evolve our Kubernetes (EKS) platform, driving adoption of containerization best practices across engineering teams
- Automate infrastructure provisioning and configuration using infrastructure-as-code tools like Terraform
- Design, build, and maintain CI/CD pipelines (GitHub Actions, ArgoCD) that enable fast, reliable software delivery
- Partner with product and engineering teams to drive projects to production, sharing DevOps expertise and ensuring strong environment configuration from the infrastructure side
- Maintain and improve monitoring, logging, and alerting systems to ensure platform health and rapid incident response
- Participate in on-call rotation to support production environment stability.
What Sets You Up for Success:
- 5+ years of experience as a DevOps Engineer working hands-on with AWS (networking, compute, storage, databases, queues, cache, permissions).
- 5+ years of strong Kubernetes and Docker experience, including implementing and scaling EKS platforms at production scale.
- Deep expertise with Terraform for infrastructure-as-code and configuration management.
- Proven experience building and supporting CI/CD pipelines using GitHub Actions and ArgoCD.
- Strong knowledge of monitoring and observability tools such as Datadog, Prometheus, Loki, or AWS CloudWatch.
- Working knowledge of web application servers (NGINX, Ingress controllers), databases (MySQL, PostgreSQL, Aurora), caching (Redis, Memcached), and queue technologies (SQS).
- Ability to write Bash and/or Python scripts to automate operational tasks.
- Strong Linux system administration skills and solid networking fundamentals.
- Excellent written and verbal English communication skills; comfortable working asynchronously across a globally distributed remote team.
#LI-REMOTE #LI-IK1
What to Expect - Your Journey with Us
Behind Cloudbeds' revolutionary technology is a team of redefining what's possible in hospitality. We're 650+ employees across 40+ countries, bringing together elite engineers, AI architects, world-class designers, and hospitality veterans to solve challenges others haven't dared to tackle. Our diverse team speaks 30+ languages, but we all share one language: a passion for innovation and travel. From pioneering breakthroughs in machine learning to revolutionizing how hotels operate, we're not just watching the future of hospitality unfold – we're coding it, designing it, writing it and shipping it. If you're ready to work alongside some of the brightest minds in tech who are obsessed with using AI to transform a trillion-dollar industry, this is your chance to be part of something extraordinary.
Learn more online at cloudbeds.com
Company Awards to Check Out!
- Best All-In-One Hotel Management System | HotelTechAwards (2025)
- Overall 10 Best Places to Work | HotelTechAwards (2025)
- Most Loved Workplace® Certified (2024)
- Top 10 People’s Choice(2024)
- Deloitte Technology Fast 500 (2024)
Discover our Benefits:
- Remote First, Remote Always
- PTO in accordance with local labor requirements
- Monthly Wellness Fridays - enjoy an extra long weekend every month
- Full Paid Parental Leave
- Home office stipend based on country of residency
- Professional development courses in Cloudbeds University
- Access to professional development, including manager training, upskilling and knowledge transfer.
Everyone is Welcome - A Culture of Inclusion
Cloudbeds is proud to be an Equal Opportunity Employer that celebrates the diversity in our global team! We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Cloudbeds is committed to the full inclusion of all qualified individuals. As part of this commitment, Cloudbeds will ensure that persons with disabilities are provided reasonable accommodations in the hiring process. We encourage deaf, hard of hearing, deaf-blind, and deaf-disabled individuals to apply. If reasonable accommodation is needed to participate in the job application or interview process or to perform essential job functions, please contact our HR team by phone at (858) 201-7832 or via email at accommodations@cloudbeds.com. Cloudbeds will provide an American Sign Language (ASL) interpreter where needed as a reasonable accommodation for the hiring processes.
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Cloudbeds. Staffing, recruiting agencies, and individuals being represented by an agency are not authorized to use this site or to submit applications, and any such submissions will be considered unsolicited. Cloudbeds does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Cloudbeds employees, or any other company location. Cloudbeds is not responsible for any fees related to unsolicited resumes/applications.
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Apply to Third-Party Job PostsSenior DevOps Engineer
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What Makes Us Unique
At Cloudbeds, we're not just building software, we’re transforming hospitality. Our intelligently designed platform powers properties across 150 countries, processing billions in bookings annually. From independent properties to hotel groups, we help hoteliers transform operations and uplevel their commercial strategy through a unified platform that integrates with hundreds of partners. And we do it with a completely remote team. Imagine working alongside global innovators to build AI-powered solutions that solve hoteliers' biggest challenges. Since our founding in 2012, we've become the World's Best Hotel PMS Solutions Provider and landed on Deloitte's Technology Fast 500 again in 2024 – but we're just getting started.
How You'll Make an Impact:
As a Senior DevOps Engineer at Cloudbeds, your goal is to constantly improve and scale our SaaS platform to deliver an exceptional experience to hoteliers and their guests worldwide. You'll own the creation, monitoring, automation, and support of our cloud infrastructure and delivery pipelines — enabling product teams to ship high-quality software with speed and confidence. Working within a bottom-up culture that values healthy debate and collaborative problem-solving, you'll have real influence over architecture decisions and the opportunity to shape how we scale infrastructure for one of the fastest-growing hospitality technology platforms in the world.
Our Infrastructure Team:
Our Infrastructure team is made up of engineers who take genuine pride in their craft, owning projects end-to-end and holding themselves to a high bar. We're passionate about technology and constantly pushing to improve our stack, not just maintain it. If you thrive in an environment where attention to detail matters, great communication is a given, and you're comfortable challenging the status quo to make things better, you'll feel right at home here.
What You Bring to the Team:
- Architect, improve, and scale Cloudbeds' cloud infrastructure on AWS, with a focus on reliability, security, and performance
- Build and evolve our Kubernetes (EKS) platform, driving adoption of containerization best practices across engineering teams
- Automate infrastructure provisioning and configuration using infrastructure-as-code tools like Terraform
- Design, build, and maintain CI/CD pipelines (GitHub Actions, ArgoCD) that enable fast, reliable software delivery
- Partner with product and engineering teams to drive projects to production, sharing DevOps expertise and ensuring strong environment configuration from the infrastructure side
- Maintain and improve monitoring, logging, and alerting systems to ensure platform health and rapid incident response
- Participate in on-call rotation to support production environment stability.
What Sets You Up for Success:
- 5+ years of experience as a DevOps Engineer working hands-on with AWS (networking, compute, storage, databases, queues, cache, permissions).
- 5+ years of strong Kubernetes and Docker experience, including implementing and scaling EKS platforms at production scale.
- Deep expertise with Terraform for infrastructure-as-code and configuration management.
- Proven experience building and supporting CI/CD pipelines using GitHub Actions and ArgoCD.
- Strong knowledge of monitoring and observability tools such as Datadog, Prometheus, Loki, or AWS CloudWatch.
- Working knowledge of web application servers (NGINX, Ingress controllers), databases (MySQL, PostgreSQL, Aurora), caching (Redis, Memcached), and queue technologies (SQS).
- Ability to write Bash and/or Python scripts to automate operational tasks.
- Strong Linux system administration skills and solid networking fundamentals.
- Excellent written and verbal English communication skills; comfortable working asynchronously across a globally distributed remote team.
#LI-REMOTE #LI-IK1
What to Expect - Your Journey with Us
Behind Cloudbeds' revolutionary technology is a team of redefining what's possible in hospitality. We're 650+ employees across 40+ countries, bringing together elite engineers, AI architects, world-class designers, and hospitality veterans to solve challenges others haven't dared to tackle. Our diverse team speaks 30+ languages, but we all share one language: a passion for innovation and travel. From pioneering breakthroughs in machine learning to revolutionizing how hotels operate, we're not just watching the future of hospitality unfold – we're coding it, designing it, writing it and shipping it. If you're ready to work alongside some of the brightest minds in tech who are obsessed with using AI to transform a trillion-dollar industry, this is your chance to be part of something extraordinary.
Learn more online at cloudbeds.com
Company Awards to Check Out!
- Best All-In-One Hotel Management System | HotelTechAwards (2025)
- Overall 10 Best Places to Work | HotelTechAwards (2025)
- Most Loved Workplace® Certified (2024)
- Top 10 People’s Choice(2024)
- Deloitte Technology Fast 500 (2024)
Discover our Benefits:
- Remote First, Remote Always
- PTO in accordance with local labor requirements
- Monthly Wellness Fridays - enjoy an extra long weekend every month
- Full Paid Parental Leave
- Home office stipend based on country of residency
- Professional development courses in Cloudbeds University
- Access to professional development, including manager training, upskilling and knowledge transfer.
Everyone is Welcome - A Culture of Inclusion
Cloudbeds is proud to be an Equal Opportunity Employer that celebrates the diversity in our global team! We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Cloudbeds is committed to the full inclusion of all qualified individuals. As part of this commitment, Cloudbeds will ensure that persons with disabilities are provided reasonable accommodations in the hiring process. We encourage deaf, hard of hearing, deaf-blind, and deaf-disabled individuals to apply. If reasonable accommodation is needed to participate in the job application or interview process or to perform essential job functions, please contact our HR team by phone at (858) 201-7832 or via email at accommodations@cloudbeds.com. Cloudbeds will provide an American Sign Language (ASL) interpreter where needed as a reasonable accommodation for the hiring processes.
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Cloudbeds. Staffing, recruiting agencies, and individuals being represented by an agency are not authorized to use this site or to submit applications, and any such submissions will be considered unsolicited. Cloudbeds does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Cloudbeds employees, or any other company location. Cloudbeds is not responsible for any fees related to unsolicited resumes/applications.
#LI-REMOTE
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Apply to Third-Party Job Posts
Forward Deployed Engineer (AI)
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About OPAQUE
OPAQUE is the Confidential AI company. Born from UC Berkeley’s RISELab, we solve the core challenge blocking AI adoption at scale: security concerns about data leaks or compliance violations. OPAQUE provides verifiable privacy and governance for AI so organizations can safely run models, agents, and workflows on their most sensitive data. Its Confidential AI platform delivers verifiable runtime governance backed by cryptographic proof that data, models, and agent actions remain private, governed, and compliant with approved policies throughout every AI workflow. This extends traditional data governance tools with real runtime verification, enabling teams to responsibly deploy AI using their most valuable proprietary data, and move from pilot to production 4-5X faster. Customers and partners include ServiceNow, Anthropic, Encore Capital, Accenture, and leaders across high tech, financial services, insurance, and healthcare.
Learn More at Opaque.co
Read about our Values at Opaque.co/about
ABOUT THIS ROLE
As a Forward Deployed Engineer (AI) at OPAQUE Systems, you are the technical bridge between our enterprise customers and OPAQUE's confidential AI platform. You will work directly with customer engineering teams — from initial architecture review through production deployment — helping them install and deploy OPAQUE in their environment, and build AI solutions (agents / agentic workflows, RAG pipelines, LLM integrations) that run on OPAQUE's confidential AI platform.
This is a hands-on technical role. You will write code, run POCs, architect solutions, and own the customer's path from "interested" to "getting value." You will also be a critical signal source for the product team — the patterns you see in the field shape what OPAQUE builds next.
KEY RESPONSIBILITIES
- Develop custom AI / agentic solutions tailored to customer needs
- Lead technical discovery and architecture scoping with enterprise customers — translate vague AI / agentic aspirations into concrete implementation plans.
- Design and build production-grade solutions for agentic workflows, RAG pipelines, and LLM integrations on OPAQUE's platform.
- Partner with customer engineering teams through production deployment — unblock integration issues, debug failures, and ensure the solution is maintainable.
- Run technical whiteboard sessions, architecture reviews, and POC demonstrations with CTO, CISO, and engineering leader audiences.
- Synthesize field observations into product feedback — use case patterns, integration friction, objections, and feature gaps.
- Build reusable artifacts: integration guides, POC templates, architectural reference designs, and objection playbooks.
- Stay ahead of the AI landscape — agentic frameworks, RAG techniques, LLM capabilities, enterprise AI tooling.
QUALIFICATIONS
- 5+ years of software engineering experience working on production AI/ML systems
- Hands-on experience building agentic workflows: tool use, multi-agent orchestration, memory architecture, agent reliability patterns.
- Deep hands-on experience with RAG pipeline design: chunking strategies, embedding models, vector databases, retrieval quality evaluation, re-ranking.
- Strong Python skills; experience with AI frameworks (LangChain, LlamaIndex, LangGraph, CrewAI, or similar).
- Experience integrating with LLM APIs (OpenAI, Anthropic, Gemini) in enterprise production environments.
- Ability to work directly with enterprise customer teams — comfortable with executive-level technical conversations.
- Strong understanding of enterprise deployment constraints: IAM, data residency, network topology, compliance requirements (SOC 2, HIPAA, FedRAMP).
- Security-aware engineering mindset — understands trust boundaries, data flow, and why cryptographic attestation matters for regulated industries.
- Bonus: Experience with confidential computing, TEEs, or privacy-preserving AI.
Ready to apply?
Apply to Opaque Systems
OUR HIRING PROCESS:
- We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment.
- We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team.
- At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team.
- From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live.
INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy
We are seeking an experienced Product Manager to lead the strategy, development, and implementation of the new systems, tools, and business processes that will power the next stage of growth.
Key Responsibilities
- Partner with leadership and department heads to define and communicate the vision for new solutions and tools that increase business outcomes.
- Transform strategic goals into actionable product solutions, aligning technical capabilities with business priorities.
- Lead the end-to-end product lifecycle - from discovery and requirements gathering to release, implementation into the business process, and continuous optimization.
- Act as a bridge between business stakeholders and technical teams, ensuring clarity, alignment, and transparency at every stage. Work closely with engineering and design teams to ensure timely, high-quality delivery.
- Analyze existing business processes and identify opportunities for automation and improvement. Re-engineer processes and implement new, effective solutions.
- Collaborate with business analysts, product designers, development teams, and other departments to get measurable outcomes. Be able to cover niche projects or product stages independently.
Qualifications
- 5+ years as a Product or Project Manager with product expertise in a fast-paced digital or tech-driven company, delivering innovations with positive measurable results.
- Experience leading cross-functional teams and delivering impactful results.
- Deep understanding of modern product and project management practices.
- Good understanding of when development is needed or not needed to solve the problem.
- Strong analytical mindset with the ability to make data-informed decisions.
- Strong organizational, planning, and delivery skills are a must.
- Excellent communication with strong stakeholder engagement and alignment skills.
- Proven records in business process analysis, optimization, and digital transformation.
- Experience in building automations to optimize processes and manual tasks.
- Self-driven, highly organized, and comfortable working remotely across time zones.
- Proficiency in building no-code/low-code prototypes and tools to validate hypotheses in the early stages.
- Previous BA experience is a plus.
- Fluent in English (spoken and written).
What We Offer
- Opportunity to shape the backbone systems of a modern, data-driven digital company.
- Autonomy to lead meaningful projects from ideation to impact.
- A collaborative, innovation-first environment that values initiative and experimentation.
- Reduced working hours on Fridays during the summer.
- Schedule: Monday–Friday, 1:00/2:00 PM – 9:00/10:00 PM EET.
Why Join Us
You’ll be at the intersection of technology, process innovation, and business growth - building systems that empower our teams to work smarter, faster, and more collaboratively. If you’re a strategic thinker who loves turning complexity into clarity and ideas into scalable solutions, we’d love to meet you.
Ready to apply?
Apply to INFUSE
Python Software Engineer (Hybrid / Mostly Remote)
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Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education.
Our Partner
Our partner (listed on NASDAQ) is the leading expert in 5G ready cloud-native, network intelligence solutions for telecom operators transitioning to 5G. Their Network Intelligence consists of Network Visibility, Service Assurance, and Network Insights. The Network Intelligence suite offers intelligent, container-based, on-demand solutions to deliver network analysis from the RAN to the Core for 5G assurance. Utilizing automated and dynamic solutions with smart minimal data collection and on-demand troubleshooting and cutting-edge techniques based on machine learning, these solutions work in harmony to provide operators an understanding of the entire customer experience and allow them to troubleshoot network performance from a high to granular level while reducing storage costs and cloud resource utilization.
Role Overview
We are looking for a Python Software Engineer to join the AI Module project which enables operators gain valuable insights about their network and promote network improvement automation using AI and ML for real-time Anomaly Detection, Root Cause Analysis and automated resolution for corrective actions. If you’re passionate about using Python and visualizing data, we’d love to hear from you.
Responsibilities
- Design, develop and maintain scalable microservices using Python. Ensure these services are robust, secure, and capable of handling high data throughput.
- Develop dashboards / visualizations to complement the backend code.
- Monitor, improve the performance of microservices and related services that are being used (e.g. SQL Database). This includes (load) testing, identifying bottlenecks, finding solutions to scale.
- Work closely with researchers to implement business logic algorithms to solve use cases.
- Work collaboratively with cross-functional teams, including DevOps, IT, Product Managers, to align development with business goals.
- Strive for high-quality code, documentation, adhere to coding standards, and promote best practices within the team.
- Stay updated with the latest in Python, libraries, microservices, data visualization. Propose and implement innovative solutions to enhance our capabilities.
Requirements
Must Have:
- At least 2-3 years of experience in software development or equivalent skills. We know there are talented people out there who are young but highly skilled.
- A Bachelor’s degree in Computer Science or a closely related discipline.
- Solid Python programming skills with a deep understanding of frameworks such as FastAPI, pydantic, sqlalchemy, pymongo.
- Experience with SQL and NoSQL databases, understanding of data modeling, and efficient query optimization.
- Basic understanding of Machine Learning concepts. We’re not doing pure research but we want you to be able to understand from a high level how some algorithms and approaches work.
- Fair knowledge of containers (e.g. Docker/Podman, Dockerfile) and Kubernetes, they are everywhere these days.
- Flexibility, we are an agile team and we’re not afraid of fixing DevOps/GitOps/Infrastructure/OS/you-name-it issues.
Nice to Have:
- Knowledge of Kubernetes, Helm, be able to deploy a helm chart, debug containers.
- Basic knowledge of PowerBI / Tableu / Grafana / etc, how to make dashboards, view Timeseries data.
- Code performance oriented – early optimization is the root of all evil however we keep an eye on it.
- Visual Studio Code IDE fan.
- UI Skills, JavaScript / Typescript, React.
- Master’s degree in Computer Science, Engineering, or related field.
Reasons to Work with Us
- Competitive financial conditions.
- Opportunity to work on internationally recognized projects.
- Flexible schedule and a hybrid work model, prioritizing remote work as much as possible to support work-life balance.
- An exciting career path within a friendly, dynamic, and growing organization.
- Professional development opportunities in a multicultural environment.
- Private medical coverage with Medlife or Regina Maria.
- Meal vouchers.
- Gift vouchers for special occasions such as birthdays, weddings, or childbirth.
- Wellbeing programs, including sick days, 7Card subscriptions, and relaxation facilities in the office.
- Team-building events and other social experiences.
- Budget allocated for certifications relevant to your project.
- Workshops, internal training sessions, and knowledge-sharing opportunities.
- Convenient city-center office location.
- Shared parking spaces.
As a global digital transformation company, Orion values creating a productive, diverse work environment. We are committed to maintaining a positive work environment where our people value traits that make each one of us different from one another. We all bring a diverse set of perspectives, work and life experiences, and our differences make us more valuable both internally and for our clients.
Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
Candidate Privacy Policy
Orion Systems Integrators, LLC and its subsidiaries and its affiliates (collectively, “Orion,” “we” or “us”) are committed to protecting your privacy. This Candidate Privacy Policy (orioninc.com) (“Notice”) explains:
- What information we collect during our application and recruitment process and why we collect it;
- How we handle that information; and
- How to access and update that information.
Your use of Orion services is governed by any applicable terms in this notice and our general Privacy Policy.
Ready to apply?
Apply to Orion Innovation
Software Engineer, Backend (Bucharest)
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Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is the German Sebastian Thrun, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu, the co-founder of Google Contact Center AI and Vertex AI platform, and co-founder, Tim Shi, an early member of Open AI.
We’ve assembled a world-class team of AI and ML experts, go-to-market leaders, and top-tier investors including Andreessen Horowitz, Greylock Partners, Sequoia, and former AT&T CEO John Donovan. Our valued customers include brands like Intuit, Cox Communications, Hilton, and Carmax and we’ve been recognized by Forbes and Bain Consulting as one of the top private AI companies in the world.
Join us on this thrilling journey to revolutionize the contact center workforce with AI. The future of work is here, and it's at Cresta.
About the role:
The Knowledge Assist (KA) team at Cresta builds AI solutions that help contact center agents access the right knowledge at the right time. Our projects include real-time generative assistance (GenKA), knowledge search (KS), retrieval-augmented generation (RAG) capabilities, and knowledge connectors to integrate with customer systems.
We are looking for a software engineer who enjoys working across the stack and thrives in a dynamic, fast-paced environment. While this role leans toward backend development, a full stack skill set is highly valued.
Responsibilities:
- Build scalable, reliable backend services that power real-time AI assistance and search.
- Design APIs and data flows to support integrations with knowledge bases and customer systems.
- Work across the stack when needed, including backend, frontend, and infrastructure layers.
- Collaborate closely with product managers, machine learning engineers, and fellow software engineers.
- Take ownership of projects end-to-end, from design through implementation and operation in production.
- Contribute to technical discussions, architecture reviews, and continuous improvement efforts.
Qualifications We Value:
- Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
- 3+ years of experience in software engineering roles.
- Strong backend development skills, preferably with Python, Go, Node.js, or similar languages.
- Proficiency in designing clear, maintainable APIs (e.g., REST, gRPC).
- Familiarity with frontend development (e.g., React or similar frameworks) is a plus.
- Experience working with databases (PostgreSQL, ClickHouse, Elasticsearch, or equivalents).
- Solid understanding of system design, distributed systems, and cloud platforms (AWS, GCP, or Azure).
- Clear communication skills and a collaborative working style.
Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, as well as applicable local pay requirements. We are actively hiring for this role in Romania, the US, and Canada. Your recruiter can provide further details.
We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored. If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai
Ready to apply?
Apply to CrestaJunior Software Engineer (Internship)
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Cresta is excited to expand our operations to Romania and build a tech hub in the region. These early joiners will play a key role in establishing our engineering team in Romania, helping to shape the future of the site. We are a remote-first environment, offering opportunities to work with a global team across Europe, the US, and Canada. Over time, we aim to create a co-working space in Romania, moving towards a hybrid environment.
Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it's at Cresta.
About the Role - Junior Software Engineer (Internship)
We’re looking for a Junior Software Engineer Intern for a 3-month summer internship who’s excited to learn, curious about how real systems work, and comfortable jumping across the stack with guidance from experienced engineers.
Location requirement: Candidates must be based in Cluj-Napoca or Bucharest.
- Build and improve backend services that power real-time AI features and search
- Help design and implement APIs for internal and external integrations
- Contribute across the stack when needed (backend, frontend, infrastructure)
- Work closely with product managers, ML engineers, and other software engineers
- Take tasks from implementation through deployment, with mentorship and code reviews
Participate in technical discussions and learn best practices through hands-on work
What We’re Looking For
- Bachelor’s degree in Computer Science or a related field (or currently pursuing one)
- Strong problem-solving skills and a solid foundation in computer science
- Familiarity with at least one backend language (Python, Go, Node.js, or similar)
- Basic experience working with APIs (REST, gRPC, or equivalent)
- Willingness to learn, ask questions, and collaborate with others
- Clear communication skills and a team-oriented mindset
- International programming or math olympiad prizes are a strong plus
(If applicable, please clearly include them in your resume.)
Nice to Have - 0–2 years of experience in software engineering (internships count)
- Exposure to databases like PostgreSQL, ClickHouse, Elasticsearch, or similar
- Basic understanding of system design, distributed systems, or cloud platforms (AWS, GCP, Azure)
- Some familiarity with frontend development (React or similar frameworks)
Hiring Process (Please Read Carefully)
- All applicants will automatically receive a coding challenge.
- We will only reach out to candidates who qualify based on their coding challenge results.
- Qualified candidates will then proceed to a series of technical interviews, followed by an HR interview.
Benefits
- 10,000 RON net monthly salary
- Opportunity to transition to a full-time role after the internship
- Equity in the company upon full-time conversion
Conclusion:
Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, as well as applicable local pay requirements. We are actively hiring for this role in Romania.
We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored. If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai
Ready to apply?
Apply to CrestaCresta is excited to expand our operations to Romania and build a tech hub in the region. These early joiners will play a key role in establishing our engineering team in Romania, helping to shape the future of the site. We are a remote-first environment, offering opportunities to work with a global team across Europe, the US, and Canada. Over time, we aim to create a co-working space in Romania, moving towards a hybrid environment.
Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it's at Cresta.
About the Role - Junior Software Engineer (Internship)
We’re looking for a Junior Software Engineer Intern for a 3-month summer internship who’s excited to learn, curious about how real systems work, and comfortable jumping across the stack with guidance from experienced engineers.
Location requirement: Candidates must be based in Cluj-Napoca or Bucharest.
- Build and improve backend services that power real-time AI features and search
- Help design and implement APIs for internal and external integrations
- Contribute across the stack when needed (backend, frontend, infrastructure)
- Work closely with product managers, ML engineers, and other software engineers
- Take tasks from implementation through deployment, with mentorship and code reviews
Participate in technical discussions and learn best practices through hands-on work
What We’re Looking For
- Bachelor’s degree in Computer Science or a related field (or currently pursuing one)
- Strong problem-solving skills and a solid foundation in computer science
- Familiarity with at least one backend language (Python, Go, Node.js, or similar)
- Basic experience working with APIs (REST, gRPC, or equivalent)
- Willingness to learn, ask questions, and collaborate with others
- Clear communication skills and a team-oriented mindset
- International programming or math olympiad prizes are a strong plus
(If applicable, please clearly include them in your resume.)
Nice to Have - 0–2 years of experience in software engineering (internships count)
- Exposure to databases like PostgreSQL, ClickHouse, Elasticsearch, or similar
- Basic understanding of system design, distributed systems, or cloud platforms (AWS, GCP, Azure)
- Some familiarity with frontend development (React or similar frameworks)
Hiring Process (Please Read Carefully)
- All applicants will automatically receive a coding challenge.
- We will only reach out to candidates who qualify based on their coding challenge results.
- Qualified candidates will then proceed to a series of technical interviews, followed by an HR interview.
Benefits
- 10,000 RON net monthly salary
- Opportunity to transition to a full-time role after the internship
- Equity in the company upon full-time conversion
Conclusion:
Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, as well as applicable local pay requirements. We are actively hiring for this role in Romania.
We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored. If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai
Ready to apply?
Apply to CrestaSenior Machine Learning Engineer - Automatic Speech Recognition (ASR)
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About the role:
At Cresta, we are dedicated to building state-of-the-art Machine Learning systems that power real-time, intelligent customer interactions. Our team develops models and platforms that process large-scale, multimodal data—especially speech and text—to extract meaning, improve quality, and deliver actionable insights at scale. By combining applied research with strong engineering discipline, we enable organizations to continuously improve AI-driven experiences in production environments.A key focus of this role is advancing model evaluation, measurement, and quality improvements, with particular emphasis on Automatic Speech Recognition (ASR) and downstream NLP systems. You will design rigorous evaluation frameworks, define quality metrics, and drive systematic improvements to model accuracy, robustness, and reliability. You will work closely with applied researchers, product teams, and platform engineers to ensure that model performance improvements translate into measurable business impact.As a Senior Machine Learning Engineer, you will be at the forefront of applying modern ML and speech/NLP techniques to production systems. Your work will focus on improving ASR quality, building scalable evaluation and benchmarking infrastructure, and enabling continuous model iteration through data-driven insights.
- Design, implement, and maintain evaluation frameworks to measure model accuracy, robustness, latency, and real-world performance across ASR and NLP systems.
- Lead ASR quality improvement efforts, including error analysis, dataset curation, metric definition (e.g., WER and task-specific metrics), and model iteration.
- Analyze large-scale speech and text data to identify failure modes and drive targeted model and data improvements.
- Develop, train, and deploy machine learning models for speech recognition and downstream tasks such as classification, entity recognition, information extraction, and structured insight generation.
- Partner with applied research to translate experimental improvements into production-ready systems.
- Collaborate with product managers, platform engineers, and UX teams to align model quality metrics with customer and business goals.
- Optimize ML pipelines and evaluation workflows to operate efficiently and reliably at scale.
- Establish best practices for model validation, offline/online evaluation, and continuous quality monitoring in production.
- Master’s or Ph.D. in Computer Science, Machine Learning, AI, or a related field.
- 5+ years of hands-on experience building, evaluating, and deploying ML models in production.
- Strong background in speech recognition (ASR), speech processing, or closely related domains.
- Deep experience with model evaluation, benchmarking, and error analysis for ML systems.
- Proficiency with ML frameworks and libraries (e.g., PyTorch, TensorFlow, Hugging Face).
- Solid understanding of modern ML techniques, including transformer-based models and large-scale training.
- Experience building data pipelines and tooling for large-scale experimentation and quality analysis.
- Strong passion for improving real-world AI system quality, with a track record of delivering measurable, production-grade improvements.
Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable.
This posting will be used to fill a newly-created role.
We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored. If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai
Ready to apply?
Apply to CrestaSenior Machine Learning Engineer - Automatic Speech Recognition (ASR)
Share this job
About the role:
At Cresta, we are dedicated to building state-of-the-art Machine Learning systems that power real-time, intelligent customer interactions. Our team develops models and platforms that process large-scale, multimodal data—especially speech and text—to extract meaning, improve quality, and deliver actionable insights at scale. By combining applied research with strong engineering discipline, we enable organizations to continuously improve AI-driven experiences in production environments.A key focus of this role is advancing model evaluation, measurement, and quality improvements, with particular emphasis on Automatic Speech Recognition (ASR) and downstream NLP systems. You will design rigorous evaluation frameworks, define quality metrics, and drive systematic improvements to model accuracy, robustness, and reliability. You will work closely with applied researchers, product teams, and platform engineers to ensure that model performance improvements translate into measurable business impact.As a Senior Machine Learning Engineer, you will be at the forefront of applying modern ML and speech/NLP techniques to production systems. Your work will focus on improving ASR quality, building scalable evaluation and benchmarking infrastructure, and enabling continuous model iteration through data-driven insights.
- Design, implement, and maintain evaluation frameworks to measure model accuracy, robustness, latency, and real-world performance across ASR and NLP systems.
- Lead ASR quality improvement efforts, including error analysis, dataset curation, metric definition (e.g., WER and task-specific metrics), and model iteration.
- Analyze large-scale speech and text data to identify failure modes and drive targeted model and data improvements.
- Develop, train, and deploy machine learning models for speech recognition and downstream tasks such as classification, entity recognition, information extraction, and structured insight generation.
- Partner with applied research to translate experimental improvements into production-ready systems.
- Collaborate with product managers, platform engineers, and UX teams to align model quality metrics with customer and business goals.
- Optimize ML pipelines and evaluation workflows to operate efficiently and reliably at scale.
- Establish best practices for model validation, offline/online evaluation, and continuous quality monitoring in production.
- Master’s or Ph.D. in Computer Science, Machine Learning, AI, or a related field.
- 5+ years of hands-on experience building, evaluating, and deploying ML models in production.
- Strong background in speech recognition (ASR), speech processing, or closely related domains.
- Deep experience with model evaluation, benchmarking, and error analysis for ML systems.
- Proficiency with ML frameworks and libraries (e.g., PyTorch, TensorFlow, Hugging Face).
- Solid understanding of modern ML techniques, including transformer-based models and large-scale training.
- Experience building data pipelines and tooling for large-scale experimentation and quality analysis.
- Strong passion for improving real-world AI system quality, with a track record of delivering measurable, production-grade improvements.
Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable.
This posting will be used to fill a newly-created role.
We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored. If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai
Ready to apply?
Apply to CrestaSenior Machine Learning Engineer Automatic Speech Recognition (ASR)
Share this job
About the role:
At Cresta, we are dedicated to building state-of-the-art Machine Learning systems that power real-time, intelligent customer interactions. Our team develops models and platforms that process large-scale, multimodal data—especially speech and text—to extract meaning, improve quality, and deliver actionable insights at scale. By combining applied research with strong engineering discipline, we enable organizations to continuously improve AI-driven experiences in production environments.A key focus of this role is advancing model evaluation, measurement, and quality improvements, with particular emphasis on Automatic Speech Recognition (ASR) and downstream NLP systems. You will design rigorous evaluation frameworks, define quality metrics, and drive systematic improvements to model accuracy, robustness, and reliability. You will work closely with applied researchers, product teams, and platform engineers to ensure that model performance improvements translate into measurable business impact.As a Senior Machine Learning Engineer, you will be at the forefront of applying modern ML and speech/NLP techniques to production systems. Your work will focus on improving ASR quality, building scalable evaluation and benchmarking infrastructure, and enabling continuous model iteration through data-driven insights.
- Design, implement, and maintain evaluation frameworks to measure model accuracy, robustness, latency, and real-world performance across ASR and NLP systems.
- Lead ASR quality improvement efforts, including error analysis, dataset curation, metric definition (e.g., WER and task-specific metrics), and model iteration.
- Analyze large-scale speech and text data to identify failure modes and drive targeted model and data improvements.
- Develop, train, and deploy machine learning models for speech recognition and downstream tasks such as classification, entity recognition, information extraction, and structured insight generation.
- Partner with applied research to translate experimental improvements into production-ready systems.
- Collaborate with product managers, platform engineers, and UX teams to align model quality metrics with customer and business goals.
- Optimize ML pipelines and evaluation workflows to operate efficiently and reliably at scale.
- Establish best practices for model validation, offline/online evaluation, and continuous quality monitoring in production.
- Master’s or Ph.D. in Computer Science, Machine Learning, AI, or a related field.
- 5+ years of hands-on experience building, evaluating, and deploying ML models in production.
- Strong background in speech recognition (ASR), speech processing, or closely related domains.
- Deep experience with model evaluation, benchmarking, and error analysis for ML systems.
- Proficiency with ML frameworks and libraries (e.g., PyTorch, TensorFlow, Hugging Face).
- Solid understanding of modern ML techniques, including transformer-based models and large-scale training.
- Experience building data pipelines and tooling for large-scale experimentation and quality analysis.
- Strong passion for improving real-world AI system quality, with a track record of delivering measurable, production-grade improvements.
Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable.
This posting will be used to fill a newly-created role.
We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored. If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai
Ready to apply?
Apply to CrestaSenior Software Engineer, Backend (Bucharest)
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Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu, the co-founder of Google Contact Center AI and Vertex AI platform, and co-founder, Tim Shi, an early member of Open AI.
Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it's at Cresta.
About the role:
At Cresta, the Voice Platform team is on a mission to transform real-time voice infrastructure and contact center automation through AI-powered backend systems. As a Senior Software Engineer on the Voice Platform team, you’ll be responsible for designing, scaling, and operating the distributed services that power Cresta’s voice ecosystem.
You’ll drive major initiatives in areas such as SIP and WebRTC support, multilingual and translation pipelines, and real-time conversation intelligence. This role requires strong technical leadership, a passion for building reliable distributed systems, and the ability to collaborate across engineering and product teams to bring innovative features into production.
Responsibilities:
- Lead the design and development of scalable, distributed backend microservices in Golang (with some Python for AI-related services).
- Own and evolve voice platform integrations with large-scale enterprise communication and contact center systems.
- Drive initiatives to expand platform capabilities, including bi-directional SIP, WebRTC integrations, multilingual support, advanced transcription, and real-time translation.
- Build systems that power conversation intelligence for both remote and in-person interactions.
- Improve observability, reliability, and self-service troubleshooting across the platform.
- Ensure performance, scalability, and resilience of real-time voice pipelines running in the cloud.
- Collaborate with cross-functional teams (ML, product, solution architects) to design end-to-end solutions for customer deployments.
- Provide technical guidance, mentorship, and best practices to other engineers on the team.
Qualifications We Value:
- Bachelor’s degree in Computer Science or related field.
- 5+ years of experience in backend system development, distributed systems, or cloud infrastructure.
- Expertise in Go (or a similar systems language) with strong API and service design skills.
- Proven experience with scalable architectures using microservices, workflow orchestration, distributed caching, and cloud databases.
- Strong knowledge of Kubernetes, Docker, and modern cloud infrastructure.
- Solid understanding of networking, real-time communication protocols, and cloud security best practices.
- Demonstrated ability to lead complex technical projects from design through production.
- Bonus: experience with voice systems, telephony, or real-time media platforms
Conclusion:
Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, as well as applicable local pay requirements. We are actively hiring for this role in Romania, the US, and Canada.
We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored. If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai
Ready to apply?
Apply to CrestaSenior Software Engineer, Backend (Cluj)
Share this job
Cresta is excited to expand our operations to Romania and build a tech hub in the region. These early joiners will play a key role in establishing our engineering team in Romania, helping to shape the future of the site. We are a remote-first environment, offering opportunities to work with a global team across Europe, the US, and Canada. Over time, we aim to create a co-working space in Romania, moving towards a hybrid environment.
Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it's at Cresta.
About your role:
As a Software Engineer, you will:
- Play a substantial role in the Cresta engineering team, focusing on building and continuously improving the Cresta platform to support new product requirements.
- Collaborate with Cresta's product and engineering teams to develop high-quality, well-designed, reusable, and well-tested system components.
- Stay closely aligned with customers and their requirements, analyzing technical trade-offs and owning customer-facing deliverables.
- Optimize platform design and implementation for lower latency, higher throughput, better reliability, and cost reduction.
- Demonstrate engineering best practices and uphold your team to the same high standards.
- Grow into technical ownership of significant parts of Cresta's product and platform.
- Contribute to building a best-in-class product and company.
Qualifications:
- Bachelor's degree in Computer Science or a related field.
- 10+ years of experience in relevant domains.
- Proficiency in designing and maintaining clear and robust APIs based on strong understanding of various protocols including gRPC, REST, WebSocket, etc.
- Experience handling real-time streaming data (audio or video) with high throughput and low latency.
- Familiarity with high-performance database schema design and query optimization.
- Experience with containerized application deployment using Kubernetes.
- Hands-on experience with one of the major cloud providers (AWS, GCP, or Azure).
Conclusion:
Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, as well as applicable local pay requirements. We are actively hiring for this role in Romania, the US, and Canada.
We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored. If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai
Ready to apply?
Apply to CrestaSenior Software Engineer, Frontend (Bucharest)
Share this job
Cresta is excited to expand our operations to Romania and build a tech hub in the region. These early joiners will play a key role in establishing our engineering team in Romania, helping to shape the future of the site. We are a remote-first environment, offering opportunities to work with a global team across Europe, the US, and Canada. Over time, we aim to create a co-working space in Romania, moving towards a hybrid environment.
Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it's at Cresta.
About the role:
As a Senior full-stack engineer, with a front-end focus, you will be at the forefront of shaping the future of customer engagement! As we work towards our vision, you'll be instrumental in delivering timely, actionable insights that drive business growth from day one. We're building a state-of-the-art Customer Data Platform, visualizing relevant insights for businesses post-onboarding and guiding customer engagement across all touch-points. Be part of the team that's redefining the way businesses connect with their customers!
Responsibilities:
- Work with the product manager to define and detail the product requirements
- Define software architecture and design matching the requirements
- Write and push high-quality code efficiently for both the frontend and backend
- Apply synchronous and asynchronous design patterns
- Scale distributed applications
- Identify and leverage opportunities to improve general engineering productivity
- Integrate with various tools for CI/CD, test automation, monitoring, logging, documentation
- Develop multi-tier scalable, high-volume performing, and reliable user-centric applications that operate 24x7
Qualifications We Value:
- A deep understanding of the modern front-end ecosystem and experience applying frameworks/tools (React.js, Webpack, and Node.js) and patterns to complex, production web applications
- Comfortable defining and building robust APIs with a strong understanding for different protocols like Websockets, REST, RPC frameworks, etc
- Experience with database schema design and an understanding of query performance that translates to performant, scalable, and reactive products
- Deep appreciation for building applications with observability as a first-class principle and familiarity with application performance monitoring
- Preferably extensive experience coding in TypeScript and Go
Conclusion:
Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, as well as applicable local pay requirements. We are actively hiring for this role in Romania, the US, and Canada.
We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored. If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai
Ready to apply?
Apply to CrestaSenior Software Engineer, Frontend (Cluj)
Share this job
Cresta is excited to expand our operations to Romania and build a tech hub in the region. These early joiners will play a key role in establishing our engineering team in Romania, helping to shape the future of the site. We are a remote-first environment, offering opportunities to work with a global team across Europe, the US, and Canada. Over time, we aim to create a co-working space in Romania, moving towards a hybrid environment.
Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it's at Cresta.
About the role:
As a Senior full-stack engineer, with a front-end focus, you will be at the forefront of shaping the future of customer engagement! As we work towards our vision, you'll be instrumental in delivering timely, actionable insights that drive business growth from day one. We're building a state-of-the-art Customer Data Platform, visualizing relevant insights for businesses post-onboarding and guiding customer engagement across all touch-points. Be part of the team that's redefining the way businesses connect with their customers!
Responsibilities:
- Work with the product manager to define and detail the product requirements
- Define software architecture and design matching the requirements
- Write and push high-quality code efficiently for both the frontend and backend
- Apply synchronous and asynchronous design patterns
- Scale distributed applications
- Identify and leverage opportunities to improve general engineering productivity
- Integrate with various tools for CI/CD, test automation, monitoring, logging, documentation
- Develop multi-tier scalable, high-volume performing, and reliable user-centric applications that operate 24x7
Qualifications We Value:
- A deep understanding of the modern front-end ecosystem and experience applying frameworks/tools (React.js, Webpack, and Node.js) and patterns to complex, production web applications
- Comfortable defining and building robust APIs with a strong understanding for different protocols like Websockets, REST, RPC frameworks, etc
- Experience with database schema design and an understanding of query performance that translates to performant, scalable, and reactive products
- Deep appreciation for building applications with observability as a first-class principle and familiarity with application performance monitoring
- Preferably extensive experience coding in TypeScript and Go
Conclusion:
Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, as well as applicable local pay requirements. We are actively hiring for this role in Romania, the US, and Canada. Your recruiter can provide further details.
We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored. If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai
Ready to apply?
Apply to CrestaCresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is the German Sebastian Thrun, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu, the co-founder of Google Contact Center AI and Vertex AI platform, and co-founder, Tim Shi, an early member of Open AI.
We’ve assembled a world-class team of AI and ML experts, go-to-market leaders, and top-tier investors including Andreessen Horowitz, Greylock Partners, Sequoia, and former AT&T CEO John Donovan. Our valued customers include brands like Intuit, Cox Communications, Hilton, and Carmax and we’ve been recognized by Forbes and Bain Consulting as one of the top private AI companies in the world.
Join us on this thrilling journey to revolutionize the contact center workforce with AI. The future of work is here, and it's at Cresta.
About the role:
The Knowledge Assist (KA) team at Cresta builds AI solutions that help contact center agents access the right knowledge at the right time. Our projects include real-time generative assistance (GenKA), knowledge search (KS), retrieval-augmented generation (RAG) capabilities, and knowledge connectors to integrate with customer systems.
We are looking for a software engineer who enjoys working across the stack and thrives in a dynamic, fast-paced environment. While this role leans toward backend development, a full stack skill set is highly valued.
Responsibilities:
- Build scalable, reliable backend services that power real-time AI assistance and search.
- Design APIs and data flows to support integrations with knowledge bases and customer systems.
- Work across the stack when needed, including backend, frontend, and infrastructure layers.
- Collaborate closely with product managers, machine learning engineers, and fellow software engineers.
- Take ownership of projects end-to-end, from design through implementation and operation in production.
- Contribute to technical discussions, architecture reviews, and continuous improvement efforts.
Qualifications We Value:
- Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
- 3+ years of experience in software engineering roles.
- Strong backend development skills, preferably with Python, Go, Node.js, or similar languages.
- Proficiency in designing clear, maintainable APIs (e.g., REST, gRPC).
- Familiarity with frontend development (e.g., React or similar frameworks) is a plus.
- Experience working with databases (PostgreSQL, ClickHouse, Elasticsearch, or equivalents).
- Solid understanding of system design, distributed systems, and cloud platforms (AWS, GCP, or Azure).
- Clear communication skills and a collaborative working style.
Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, as well as applicable local pay requirements. We are actively hiring for this role in Romania, the US, and Canada. Your recruiter can provide further details.
We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored. If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai
Ready to apply?
Apply to CrestaStaff Infrastructure Software Engineer (Kubernetes)
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About the role:
Responsibilities:
- Developer Toolchain. Partner with engineers to build dev tools that empower developer workflows and deployment infrastructure.
- Ensure reliability of multi-cloud Kubernetes clusters and pipelines.
- Metrics, logging, analytics, and alerting for performance and security across all endpoints and applications.
- Infrastructure-as-code deployment tooling and supporting services on multiple cloud providers.
- Automate operations and engineering. Focus on automation so we can spend energy where it matters.
- Building machine learning infrastructure that enables AI teams to train, test, and deploy on large-scale datasets.
What we are looking for:
- 5+ years experience in DevOps, Site Reliability Engineering, Production Engineering, or equivalent field.
- Deep proficiency with coding languages such as Golang or Python.
- Deep familiarity with container-related security best practices.
- Production experience working with Kubernetes, and a deep understanding of the Kubernetes ecosystem, including popular open-source tooling such as cert-manager or external-dns. Experience with GPU-enabled clusters is a bonus.
- Production experience with Kubernetes templating tools such as Helm or Kustomize.
- Production experience with IAC tools such as Terraform or CloudFormation.
- Production experience working with AWS and services such as IAM, S3, EC2, and EKS.
- Production experience with other cloud providers such as Google Cloud and Azure is a bonus.
- Production experience with database software such as PostgreSQL
- Experience with GitOps tooling such as Flux or Argo.
- Experience with CI/CD such as GitHub Actions.
Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable.
We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored. If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai
Ready to apply?
Apply to CrestaStaff Infrastructure Software Engineer (Kubernetes)
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About the role:
Responsibilities:
- Developer Toolchain. Partner with engineers to build dev tools that empower developer workflows and deployment infrastructure.
- Ensure reliability of multi-cloud Kubernetes clusters and pipelines.
- Metrics, logging, analytics, and alerting for performance and security across all endpoints and applications.
- Infrastructure-as-code deployment tooling and supporting services on multiple cloud providers.
- Automate operations and engineering. Focus on automation so we can spend energy where it matters.
- Building machine learning infrastructure that enables AI teams to train, test, and deploy on large-scale datasets.
What we are looking for:
- 5+ years experience in DevOps, Site Reliability Engineering, Production Engineering, or equivalent field.
- Deep proficiency with coding languages such as Golang or Python.
- Deep familiarity with container-related security best practices.
- Production experience working with Kubernetes, and a deep understanding of the Kubernetes ecosystem, including popular open-source tooling such as cert-manager or external-dns. Experience with GPU-enabled clusters is a bonus.
- Production experience with Kubernetes templating tools such as Helm or Kustomize.
- Production experience with IAC tools such as Terraform or CloudFormation.
- Production experience working with AWS and services such as IAM, S3, EC2, and EKS.
- Production experience with other cloud providers such as Google Cloud and Azure is a bonus.
- Production experience with database software such as PostgreSQL
- Experience with GitOps tooling such as Flux or Argo.
- Experience with CI/CD such as GitHub Actions.
Perks & Benefits:
- Paid parental leave to support you and your family
- Monthly Health & Wellness allowance
- PTO: 28 days in Berlin
Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable. Your recruiter can provide further details.
We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored. If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai
Ready to apply?
Apply to CrestaStaff Software Engineer, Backend (Bucharest)
Share this job
Cresta is excited to expand our operations to Romania and build a tech hub in the region. These early joiners will play a key role in establishing our engineering team in Romania, helping to shape the future of the site. We are a remote-first environment, offering opportunities to work with a global team across Europe, the US, and Canada. Over time, we aim to create a co-working space in Romania, moving towards a hybrid environment.
Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it's at Cresta.
About the role:
Cresta Insights: As a Staff full-stack engineer, with a backend focus, you will be at the forefront of shaping the future of customer engagement! As we work towards our vision, you'll be instrumental in delivering timely, actionable insights that drive business growth from day one. We're building a state-of-the-art Customer Data Platform, visualizing relevant insights for businesses post-onboarding and guiding customer engagement across all touch-points. Be part of the team that's redefining the way businesses connect with their customers!
Responsibilities:
- Design, implement, and maintain backend services and APIs to support applications.
- Build and optimize data storage solutions using Postgres, ClickHouse and Elasticsearch to ensure high performance and scalability.
- Collaborate with cross-functional teams, including frontend engineers, data scientists, and machine learning engineers, to deliver end-to-end solutions.
- Monitor and troubleshoot performance issues in distributed systems and databases.
- Write clean, maintainable, and efficient code following best practices for backend development.
- Participate in code reviews, testing, and continuous integration efforts.
- Ensure security, scalability, and reliability of backend services.
- Analyze and improve system architecture, focusing on performance bottlenecks, scaling, and security.
Qualifications We Value:
- Proven experience as a Backend Engineer with a focus on database design and system architecture.
- Strong expertise in ClickHouse or similar columnar databases for managing large-scale, real-time analytical queries.
- Hands-on experience with Elasticsearch for indexing and searching large datasets.
- Proficient in backend programming languages such as Python, Go.
- Experience with RESTful API design and development.
- Solid understanding of distributed systems, microservices architecture, and cloud infrastructure.
- Experience with performance tuning, data modeling, and query optimization.
- Strong problem-solving skills and attention to detail.
- Excellent communication and teamwork abilities.
Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, as well as applicable local pay requirements. We are actively hiring for this role in Romania, the US, and Canada. Your recruiter can provide further details.
We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored. If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai
Ready to apply?
Apply to CrestaCresta is excited to expand our operations to Romania and build a tech hub in the region. These early joiners will play a key role in establishing our engineering team in Romania, helping to shape the future of the site. We are a remote-first environment, offering opportunities to work with a global team across Europe, the US, and Canada. Over time, we aim to create a co-working space in Romania, moving towards a hybrid environment.
Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it's at Cresta.
About the role:
Cresta Insights: As a Staff full-stack engineer, with a backend focus, you will be at the forefront of shaping the future of customer engagement! As we work towards our vision, you'll be instrumental in delivering timely, actionable insights that drive business growth from day one. We're building a state-of-the-art Customer Data Platform, visualizing relevant insights for businesses post-onboarding and guiding customer engagement across all touch-points. Be part of the team that's redefining the way businesses connect with their customers!
Responsibilities:
- Design, implement, and maintain backend services and APIs to support applications.
- Build and optimize data storage solutions using Postgres, ClickHouse and Elasticsearch to ensure high performance and scalability.
- Collaborate with cross-functional teams, including frontend engineers, data scientists, and machine learning engineers, to deliver end-to-end solutions.
- Monitor and troubleshoot performance issues in distributed systems and databases.
- Write clean, maintainable, and efficient code following best practices for backend development.
- Participate in code reviews, testing, and continuous integration efforts.
- Ensure security, scalability, and reliability of backend services.
- Analyze and improve system architecture, focusing on performance bottlenecks, scaling, and security.
Qualifications We Value:
- Proven experience as a Backend Engineer with a focus on database design and system architecture.
- Strong expertise in ClickHouse or similar columnar databases for managing large-scale, real-time analytical queries.
- Hands-on experience with Elasticsearch for indexing and searching large datasets.
- Proficient in backend programming languages such as Python, Go.
- Experience with RESTful API design and development.
- Solid understanding of distributed systems, microservices architecture, and cloud infrastructure.
- Experience with performance tuning, data modeling, and query optimization.
- Strong problem-solving skills and attention to detail.
- Excellent communication and teamwork abilities.
Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, as well as applicable local pay requirements. We are actively hiring for this role in Romania, the US, and Canada. We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored. If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai
Ready to apply?
Apply to CrestaCresta is excited to expand our operations to Romania and build a tech hub in the region. These early joiners will play a key role in establishing our engineering team in Romania, helping to shape the future of the site. We are a remote-first environment, offering opportunities to work with a global team across Europe, the US, and Canada. Over time, we aim to create a co-working space in Romania, moving towards a hybrid environment.
Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it's at Cresta.
About the role:
Cresta Insights: As a Staff full-stack engineer, with a backend focus, you will be at the forefront of shaping the future of customer engagement! As we work towards our vision, you'll be instrumental in delivering timely, actionable insights that drive business growth from day one. We're building a state-of-the-art Customer Data Platform, visualizing relevant insights for businesses post-onboarding and guiding customer engagement across all touch-points. Be part of the team that's redefining the way businesses connect with their customers!
Responsibilities:
- Design, implement, and maintain backend services and APIs to support applications.
- Build and optimize data storage solutions using Postgres, ClickHouse and Elasticsearch to ensure high performance and scalability.
- Collaborate with cross-functional teams, including frontend engineers, data scientists, and machine learning engineers, to deliver end-to-end solutions.
- Monitor and troubleshoot performance issues in distributed systems and databases.
- Write clean, maintainable, and efficient code following best practices for backend development.
- Participate in code reviews, testing, and continuous integration efforts.
- Ensure security, scalability, and reliability of backend services.
- Analyze and improve system architecture, focusing on performance bottlenecks, scaling, and security.
Qualifications We Value:
- Proven experience as a Backend Engineer with a focus on database design and system architecture.
- Strong expertise in ClickHouse or similar columnar databases for managing large-scale, real-time analytical queries.
- Hands-on experience with Elasticsearch for indexing and searching large datasets.
- Proficient in backend programming languages such as Python, Go.
- Experience with RESTful API design and development.
- Solid understanding of distributed systems, microservices architecture, and cloud infrastructure.
- Experience with performance tuning, data modeling, and query optimization.
- Strong problem-solving skills and attention to detail.
- Excellent communication and teamwork abilities.
Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, as well as applicable local pay requirements. We are actively hiring for this role in Romania, the US, and Canada.
We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored. If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai
Ready to apply?
Apply to CrestaStaff Software Engineer, Frontend (Cluj)
Share this job
Cresta is excited to expand our operations to Romania and build a tech hub in the region. These early joiners will play a key role in establishing our engineering team in Romania, helping to shape the future of the site. We are a remote-first environment, offering opportunities to work with a global team across Europe, the US, and Canada. Over time, we aim to create a co-working space in Romania, moving towards a hybrid environment.
Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it's at Cresta.
About the role:
As a Staff Full-stack Engineer, with a front-end focus, you will be at the forefront of shaping the future of customer engagement! As we work towards our vision, you'll be instrumental in delivering timely, actionable insights that drive business growth from day one. We're building a state-of-the-art Customer Data Platform, visualizing relevant insights for businesses post-onboarding and guiding customer engagement across all touch-points. Be part of the team that's redefining the way businesses connect with their customers!
Responsibilities:
- Work with the product manager to define and detail the product requirements
- Define software architecture and design matching the requirements
- Write and push high-quality code efficiently for both the frontend and backend
- Apply synchronous and asynchronous design patterns
- Scale distributed applications
- Identify and leverage opportunities to improve general engineering productivity
- Integrate with various tools for CI/CD, test automation, monitoring, logging, documentation
- Develop multi-tier scalable, high-volume performing, and reliable user-centric applications that operate 24x7
Qualifications We Value:
- A deep understanding of the modern front-end ecosystem and experience applying frameworks/tools (React.js, Webpack, and Node.js) and patterns to complex, production web applications
- Comfortable defining and building robust APIs with a strong understanding for different protocols like Websockets, REST, RPC frameworks, etc
- Experience with database schema design and an understanding of query performance that translates to performant, scalable, and reactive products
- Deep appreciation for building applications with observability as a first-class principle and familiarity with application performance monitoring
- Preferably extensive experience coding in TypeScript and Go
Conclusion:
Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, as well as applicable local pay requirements. We are actively hiring for this role in Romania, the US, and Canada.
We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored. If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai
Ready to apply?
Apply to Cresta
Senior Machine Learning Engineer - Applied ML & Research
Share this job
We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day.
As a Senior Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.
You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.
What you’ll you be doing:
- Partner with product and engineering to identify and execute machine learning use cases that deliver measurable impact
- Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components)
- Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring
- Implement reliable training/inference pipelines and help improve reproducibility, testing, and observability
- Communicate model behavior, trade-offs, and results clearly to both technical and non-technical stakeholders
- Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices
We're looking for someone with:
- Bachelor’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master’s a plus)
- 4+ years of industry experience building and deploying ML systems
- Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL
- Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies
- Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices
- Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively
Bonus points for:
- Familiarity with ML tooling such as MLflow, ZenML, or Metaflow
- Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito)
- Exposure to streaming data platforms like Kafka
- Contributions to open-source ML projects
About Super
We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide.
Shaping the Future of Play
Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers
Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA).
At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.
Ready to apply?
Apply to Super Technologies
Senior Machine Learning Engineer - Applied ML & Research
Share this job
We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day.
As a Senior Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.
You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.
What you’ll you be doing:
- Partner with product and engineering to identify and execute machine learning use cases that deliver measurable impact
- Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components)
- Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring
- Implement reliable training/inference pipelines and help improve reproducibility, testing, and observability
- Communicate model behavior, trade-offs, and results clearly to both technical and non-technical stakeholders
- Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices
We're looking for someone with:
- Bachelor’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master’s a plus)
- 4+ years of industry experience building and deploying ML systems
- Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL
- Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies
- Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices
- Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively
Bonus points for:
- Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
- Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
- Exposure to streaming data platforms like Kafka.
- Contributions to open-source ML projects.
About Super
We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide.
Shaping the Future of Play
Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers
Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA).
At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.
Ready to apply?
Apply to Super Technologies
Senior Machine Learning Engineer - Applied ML & Research
Share this job
We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day.
As a Senior Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.
You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.
What you’ll you be doing:
- Partner with product and engineering to identify and execute machine learning use cases that deliver measurable impact
- Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components)
- Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring
- Implement reliable training/inference pipelines and help improve reproducibility, testing, and observability
- Communicate model behavior, trade-offs, and results clearly to both technical and non-technical stakeholders
- Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices
We're looking for someone with:
- Bachelor’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master’s a plus)
- 4+ years of industry experience building and deploying ML systems
- Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL
- Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies
- Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices
- Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively
Bonus points for:
- Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
- Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
- Exposure to streaming data platforms like Kafka.
- Contributions to open-source ML projects.
About Super
We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide.
Shaping the Future of Play
Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers
Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA).
At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.
Ready to apply?
Apply to Super Technologies
Senior Machine Learning Engineer - Applied ML & Research
Share this job
We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day.
As a Senior Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.
You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.
What you’ll you be doing:
- Partner with product and engineering to identify and execute machine learning use cases that deliver measurable impact
- Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components)
- Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring
- Implement reliable training/inference pipelines and help improve reproducibility, testing, and observability
- Communicate model behavior, trade-offs, and results clearly to both technical and non-technical stakeholders
- Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices
We're looking for someone with:
- Bachelor’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master’s a plus)
- 4+ years of industry experience building and deploying ML systems
- Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL
- Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies
- Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices
- Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively
Bonus points for:
- Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
- Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
- Exposure to streaming data platforms like Kafka.
- Contributions to open-source ML projects.
About Super
We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide.
Shaping the Future of Play
Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers
Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA).
At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.
Ready to apply?
Apply to Super Technologies
Senior Machine Learning Engineer - Applied ML & Research
Share this job
We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day.
As a Senior Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.
You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.
What you’ll you be doing:
- Partner with product and engineering to identify and execute machine learning use cases that deliver measurable impact
- Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components)
- Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring
- Implement reliable training/inference pipelines and help improve reproducibility, testing, and observability
- Communicate model behavior, trade-offs, and results clearly to both technical and non-technical stakeholders
- Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices
We're looking for someone with:
- Bachelor’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master’s a plus)
- 4+ years of industry experience building and deploying ML systems
- Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL
- Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies
- Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices
- Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively
Bonus points for:
- Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
- Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
- Exposure to streaming data platforms like Kafka.
- Contributions to open-source ML projects.
About Super
We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide.
Shaping the Future of Play
Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers
Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA).
At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.
Ready to apply?
Apply to Super Technologies
Senior Data Analytics Engineer
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MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used everyday. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development.
About the Role
We're looking for a Senior Data Analytics Engineer who lives and breathes data-someone who combines strong engineering skills with analytical depth. You'll join a small, high-impact team where you don't just analyze data, you build the systems and pipelines that make analytics possible. This isn't a dashboards-and-decks role-you'll engineer solutions across the full analytics stack, from designing reliable data pipelines in BigQuery and MariaDB to building internal tools and APIs that put insights into the hands of the business.
Day to day, you'll write sophisticated SQL in BigQuery and MariaDB, architect and build automation and tooling in Python and FastAPI, and use AI-powered development tools like Windsurf, Gemini, and Claude as a core part of how you work. You need to understand data architecture deeply-how information flows from source systems through pipelines into the warehouse, how schemas are designed, and how to build infrastructure that scales and stays maintainable.
Communication is a big part of this role. You'll work closely with stakeholders across the business, translating complex data into clear, actionable insights. But equally important is your ability to engineer robust, repeatable solutions-not one-off analyses. We need someone who can own their domain end-to-end: define the right questions, build the data infrastructure, deliver the analysis, and present it in a way that drives decisions. If you're self-sufficient, ambitious, always looking to improve, and you have a GitHub profile that shows what you're capable of-we want to talk to you.
Key Responsibilities
- Design, build, and maintain analytical pipelines and reporting solutions on BigQuery and MariaDB
- Write sophisticated, performant SQL to extract insights from large-scale datasets
- Leverage AI and machine learning features to augment analytics workflows and deliver smarter outputs
- Use AI-powered development tools (Windsurf, Gemini, Claude, Cursor) to accelerate your workflow and deliver at a higher level
- Develop internal tooling and automation using Python, FastAPI, and modern frameworks
- Communicate findings clearly to technical and non-technical stakeholders-translate data into action
- Understand and document data architecture, lineage, and how information flows across systems
- Collaborate on business process analysis and process design improvements driven by data
- Proactively identify opportunities for deeper analysis, better tooling, and operational improvements
Requirements & Qualifications
- 7+ years of professional experience in data analytics engineering, data engineering, or a related field
- Expert-level SQL - you think in joins, window functions, and CTEs; BigQuery and MariaDB experience strongly preferred
- Strong Python and/or JavaScript skills - comfortable building pipelines, internal tools, APIs, and automation; not just scripts
- js experience - ability to build data-facing web applications and internal dashboards
- Deep understanding of data architecture - how databases are structured, how data flows, how schemas evolve
- Hands-on experience with AI/ML - you stay current with the latest capabilities (LLMs, generative AI, embeddings) and know how to apply them practically
- Proficiency with AI-powered development tools - Windsurf, Gemini, Claude, Cursor, or similar; you use AI to multiply your output, not as a crutch
- Excellent communication skills - you can explain complex analysis to anyone in the room
- Self-sufficient and self-managing - you own your work end-to-end without needing to be told what to do next
- Ambitious and continuously improving - you seek out new skills, tools, and techniques on your own
- A public GitHub profile with examples of your work (personal projects, contributions, experiments)
Nice to Have
- FastAPI experience for building internal APIs and services
- Background in business process design or operational analytics
- Exposure to multiple business departments (Finance, Marketing, Sales, Operations, Engineering) - you understand how data flows across an organization, not just within one silo
- Understanding of Docker and Kubernetes - containerization and cluster orchestration experience is a big plus
Location – Romania (remote)
Travel - As required for the job (minimal).
What's in it for you?
Impact the world of technology by pushing the boundaries of technology and business models, working at MariaDB, plc. Be part of a game-changing organization that encourages outside-the-box thinking, values empowerment, and is truly shaping the future of the software industry.
You’ll be collaborating with high-caliber colleagues around the world, offering unparalleled learning and growth opportunities. We provide a very competitive compensation package, 25 days paid annual leave (plus holidays) and a massive degree of flexibility and freedom, and more.
Salaries for candidates outside the U.S. will vary based on local compensation structures.
How to Apply
If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site.
- At MariaDB we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone.
- MariaDB does not sponsor work visas or relocation.
- MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
- MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.
Ready to apply?
Apply to MariaDB plc
Staff Machine Learning Engineer - Applied ML & Research
Share this job
We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day.
As a Staff Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.
This role blends hands-on technical work with strategic thinking. You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.
What you’ll you be doing:
- Identify high-impact ML opportunities and influence stakeholders to prioritize and support these initiatives.
- Design and develop scalable machine learning models — including classifiers, regressors, and rule-based systems — to solve real-world problems.
- Own the full ML lifecycle: from data exploration and feature engineering to model training, evaluation, and deployment.
- Translate complex technical concepts into clear insights for both technical and non-technical stakeholders.
- Set and guide technical direction across ML projects, ensuring technical best practices as well as alignment with business goals.
- Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement.
We're looking for someone with:
- Master’s degree (or equivalent) in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field.
- 7+ years of industry experience building and deploying ML models at scale.
- Proven ability to lead cross-functional technical initiatives and influence engineering strategy.
- Proficiency in Python (with libraries like PyTorch, XGBoost, Scikit-learn) and SQL.
- Strong experience with machine learning pipelines and orchestration tools such as Airflow, SageMaker Pipelines, or similar.
- Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies.
- A track record of shipping production-level ML products and maintaining high code quality.
- Excellent problem-solving skills and ability to scope and disambiguate complex ML projects into clear, achievable milestones.
Bonus points for:
- Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
- Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
- Exposure to streaming data platforms like Kafka.
- Contributions to open-source ML projects or publications in ML conferences.
About Super
We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide.
Shaping the Future of Play
Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers
Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA).
At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.
Ready to apply?
Apply to Super Technologies
Staff Machine Learning Engineer - Applied ML & Research
Share this job
We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day.
As a Staff Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.
This role blends hands-on technical work with strategic thinking. You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.
What you’ll you be doing:
- Identify high-impact ML opportunities and influence stakeholders to prioritize and support these initiatives.
- Design and develop scalable machine learning models — including classifiers, regressors, and rule-based systems — to solve real-world problems.
- Own the full ML lifecycle: from data exploration and feature engineering to model training, evaluation, and deployment.
- Translate complex technical concepts into clear insights for both technical and non-technical stakeholders.
- Set and guide technical direction across ML projects, ensuring technical best practices as well as alignment with business goals.
- Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement.
We're looking for someone with:
- Master’s degree (or equivalent) in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field.
- 7+ years of industry experience building and deploying ML models at scale.
- Proven ability to lead cross-functional technical initiatives and influence engineering strategy.
- Proficiency in Python (with libraries like PyTorch, XGBoost, Scikit-learn) and SQL.
- Strong experience with machine learning pipelines and orchestration tools such as Airflow, SageMaker Pipelines, or similar.
- Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies.
- A track record of shipping production-level ML products and maintaining high code quality.
- Excellent problem-solving skills and ability to scope and disambiguate complex ML projects into clear, achievable milestones.
Bonus points for:
- Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
- Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
- Exposure to streaming data platforms like Kafka.
- Contributions to open-source ML projects or publications in ML conferences.
About Super
We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide.
Shaping the Future of Play
Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers
Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA).
At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.
Ready to apply?
Apply to Super Technologies
Staff Machine Learning Engineer - Applied ML & Research
Share this job
We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day.
As a Staff Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.
This role blends hands-on technical work with strategic thinking. You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.
What you’ll you be doing:
- Identify high-impact ML opportunities and influence stakeholders to prioritize and support these initiatives.
- Design and develop scalable machine learning models — including classifiers, regressors, and rule-based systems — to solve real-world problems.
- Own the full ML lifecycle: from data exploration and feature engineering to model training, evaluation, and deployment.
- Translate complex technical concepts into clear insights for both technical and non-technical stakeholders.
- Set and guide technical direction across ML projects, ensuring technical best practices as well as alignment with business goals.
- Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement.
We're looking for someone with:
- Master’s degree (or equivalent) in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field.
- 7+ years of industry experience building and deploying ML models at scale.
- Proven ability to lead cross-functional technical initiatives and influence engineering strategy.
- Proficiency in Python (with libraries like PyTorch, XGBoost, Scikit-learn) and SQL.
- Strong experience with machine learning pipelines and orchestration tools such as Airflow, SageMaker Pipelines, or similar.
- Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies.
- A track record of shipping production-level ML products and maintaining high code quality.
- Excellent problem-solving skills and ability to scope and disambiguate complex ML projects into clear, achievable milestones.
Bonus points for:
- Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
- Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
- Exposure to streaming data platforms like Kafka.
- Contributions to open-source ML projects or publications in ML conferences.
About Super
We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide.
Shaping the Future of Play
Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers
Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA).
At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.
Ready to apply?
Apply to Super Technologies
Staff Machine Learning Engineer - Applied ML & Research
Share this job
We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day.
As a Staff Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.
This role blends hands-on technical work with strategic thinking. You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.
What you’ll you be doing:
- Identify high-impact ML opportunities and influence stakeholders to prioritize and support these initiatives.
- Design and develop scalable machine learning models — including classifiers, regressors, and rule-based systems — to solve real-world problems.
- Own the full ML lifecycle: from data exploration and feature engineering to model training, evaluation, and deployment.
- Translate complex technical concepts into clear insights for both technical and non-technical stakeholders.
- Set and guide technical direction across ML projects, ensuring technical best practices as well as alignment with business goals.
- Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement.
We're looking for someone with:
- Master’s degree (or equivalent) in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field.
- 7+ years of industry experience building and deploying ML models at scale.
- Proven ability to lead cross-functional technical initiatives and influence engineering strategy.
- Proficiency in Python (with libraries like PyTorch, XGBoost, Scikit-learn) and SQL.
- Strong experience with machine learning pipelines and orchestration tools such as Airflow, SageMaker Pipelines, or similar.
- Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies.
- A track record of shipping production-level ML products and maintaining high code quality.
- Excellent problem-solving skills and ability to scope and disambiguate complex ML projects into clear, achievable milestones.
Bonus points for:
- Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
- Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
- Exposure to streaming data platforms like Kafka.
- Contributions to open-source ML projects or publications in ML conferences.
About Super
We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide.
Shaping the Future of Play
Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers
Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA).
At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.
Ready to apply?
Apply to Super Technologies
Staff Machine Learning Engineer - Applied ML & Research
Share this job
We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day.
As a Staff Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.
This role blends hands-on technical work with strategic thinking. You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.
What you’ll you be doing:
- Identify high-impact ML opportunities and influence stakeholders to prioritize and support these initiatives.
- Design and develop scalable machine learning models — including classifiers, regressors, and rule-based systems — to solve real-world problems.
- Own the full ML lifecycle: from data exploration and feature engineering to model training, evaluation, and deployment.
- Translate complex technical concepts into clear insights for both technical and non-technical stakeholders.
- Set and guide technical direction across ML projects, ensuring technical best practices as well as alignment with business goals.
- Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement.
We're looking for someone with:
- Master’s degree (or equivalent) in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field.
- 7+ years of industry experience building and deploying ML models at scale.
- Proven ability to lead cross-functional technical initiatives and influence engineering strategy.
- Proficiency in Python (with libraries like PyTorch, XGBoost, Scikit-learn) and SQL.
- Strong experience with machine learning pipelines and orchestration tools such as Airflow, SageMaker Pipelines, or similar.
- Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies.
- A track record of shipping production-level ML products and maintaining high code quality.
- Excellent problem-solving skills and ability to scope and disambiguate complex ML projects into clear, achievable milestones.
Bonus points for:
- Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
- Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
- Exposure to streaming data platforms like Kafka.
- Contributions to open-source ML projects or publications in ML conferences.
About Super
We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide.
Shaping the Future of Play
Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers
Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA).
At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.
Ready to apply?
Apply to Super Technologies
Machine Learning Engineer - Applied ML & Research
Share this job
We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day.
As a Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.
You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.
What you’ll you be doing:
- Partner with product and engineering to identify and execute machine learning use cases that deliver measurable impact
- Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components)
- Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring
- Implement reliable training/inference pipelines and help improve reproducibility, testing, and observability
- Communicate model behavior, trade-offs, and results clearly to both technical and non-technical stakeholders
- Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices
We're looking for someone with:
- Bachelor’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master’s a plus)
- 2+ years of industry experience building and deploying ML systems
- Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL
- Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies
- Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices
- Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively
Bonus points for:
- Familiarity with ML tooling such as MLflow, ZenML, or Metaflow
- Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito)
- Exposure to streaming data platforms like Kafka
- Contributions to open-source ML projects
About Super
We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide.
Shaping the Future of Play
Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers
Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA).
At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.
Ready to apply?
Apply to Super Technologies
Machine Learning Engineer - Applied ML & Research
Share this job
We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day.
As a Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.
You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.
What you’ll you be doing:
- Partner with product and engineering to identify and execute machine learning use cases that deliver measurable impact
- Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components)
- Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring
- Implement reliable training/inference pipelines and help improve reproducibility, testing, and observability
- Communicate model behavior, trade-offs, and results clearly to both technical and non-technical stakeholders
- Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices
We're looking for someone with:
- Bachelor’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master’s a plus)
- 2+ years of industry experience building and deploying ML systems
- Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL
- Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies
- Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices
- Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively
Bonus points for:
- Familiarity with ML tooling such as MLflow, ZenML, or Metaflow
- Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito)
- Exposure to streaming data platforms like Kafka
- Contributions to open-source ML projects
About Super
We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide.
Shaping the Future of Play
Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers
Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA).
At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.
Ready to apply?
Apply to Super Technologies
Machine Learning Engineer - Applied ML & Research
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We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day.
As a Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.
You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.
What you’ll you be doing:
- Partner with product and engineering to identify and execute machine learning use cases that deliver measurable impact
- Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components)
- Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring
- Implement reliable training/inference pipelines and help improve reproducibility, testing, and observability
- Communicate model behavior, trade-offs, and results clearly to both technical and non-technical stakeholders
- Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices
We're looking for someone with:
- Bachelor’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master’s a plus)
- 2+ years of industry experience building and deploying ML systems
- Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL
- Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies
- Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices
- Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively
Bonus points for:
- Familiarity with ML tooling such as MLflow, ZenML, or Metaflow
- Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito)
- Exposure to streaming data platforms like Kafka
- Contributions to open-source ML projects
About Super
We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide.
Shaping the Future of Play
Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers
Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA).
At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.
Ready to apply?
Apply to Super Technologies