PyTorch Jobs in Poland.
All active PyTorch roles based in Poland.
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AI/ML Developer
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We are launching a strategic pool of AI specialists to accelerate the growth of our AI Practice and turn strong market demand into scalable, repeatable capabilities. This role goes beyond project delivery-it is about shaping how AI is built, shared, and scaled across the company.
As part of this group, you will play a key role in internal capability development, with a strong focus on designing and evolving AI Accelerators-reusable frameworks, templates, and reference architectures covering GenAI, LLM-based solutions, ML pipelines, and cloud-native AI systems. These accelerators will become the backbone of our AI offerings, enabling faster delivery, higher quality, and consistent technical standards across projects.
A second core dimension of the role is knowledge leadership. Strategic hires will actively contribute to internal knowledge-sharing initiatives: technical deep dives, hands-on workshops, demos, and best-practice sessions covering topics such as GenAI orchestration, RAG, model deployment, prompt and system design, observability, and cost-efficient AI architectures. You will help raise the overall AI maturity of the organization while mentoring engineers and influencing technical direction. In addition, members of this group will act as AI project jumpstarters, joining new client engagements for up to 50% allocation over 1-2 months. In this capacity, you will help define solution architectures, validate technical approaches, build initial prototypes, and set strong engineering foundations before teams scale. This gives you exposure to diverse domains and cutting-edge AI use cases while maximizing your impact across multiple initiatives.
Project Description
We are looking for a highly skilled and innovative Machine Learning Engineer to develop and expand our Generative AI and Computer Vision capabilities. This role involves accelerating Technical Sales Support, Architecture and PoC development.
Technologies
- Python
- Git, CI/CD practices for ML and data pipelines
- AWS and/or Azure
- PyTorch, TensorFlow
- MLflow
- LLMs and NLP tasks
- Generative AI concepts
- LangChain/LangGraph, LlamaIndex
- Qdrant, Pinecone, Weaviate, FAISS or similar
- RNNs, Transformers
- Dataset labeling, annotation tools (e.g., Label Studio, CVAT)
- Prometheus, Grafana, DataDog, OpenTelemetry
- YOLO, SDD
- Segmentation models
- Image Classification
What You'll Do
- Lead the design, development, and deployment of scalable ML services;
- Architect and implement AI/ML solutions, ensuring model quality, governance, and security;
- Optimize ML workflows for performance and cost efficiency on cloud platforms (AWS, Azure, or GCP);
- Collaborate with data scientists, analysts, and business stakeholders to understand ML requirements;
- Mentor and guide junior engineers, promoting best practices in ML engineering;
- Develop and maintain documentation, ML models, and technical standards;
- Monitor, troubleshoot, and resolve issues in production for ML pipelines and environments;
- Stay up-to-date with emerging trends and technologies in AI/ML field;
Job Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field;
- 5+ years of experience in ML engineering, with at least 1 years of hands-on experience with LLMs;
- Strong proficiency in Python;
- Experience with cloud data platforms (AWS and/or Azure);
- Familiarity with CI/CD, DevOps, and infrastructure-as-code practices for ML engineering;
- Experience with data governance, security, and compliance in cloud environments;
- Excellent problem-solving, communication, and leadership skills;
- English: Upper Intermediate level or higher;
What Do We Offer
The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Health insurance;
- English courses;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.
Ready to apply?
Apply to Coherent Solutions
A Career with Point72’s Technology Team
As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications.
As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business.
What you’ll do
As a quantitative analyst on our Treasury Analytics team, you will be at the forefront of the firm’s initiative to optimize and improve financing and capital utilization by delivering best-in-class datasets, models, and processes across asset types. The team is highly collaborative and sits within the broader Technology platform. Specifically, you will:
- Develop, implement, and maintain quantitative models for our Treasury team, including models for cash management, liquidity risk, and foreign exchange risk
- Partner with internal teams to impact the firm’s financing capabilities by delivering high-quality calculations, contributing to our Treasury analytics platform, and curating data for wider audiences
- Develop an expertise across our prime brokerage, financing models, and other firm models by engaging with partners and contributing quantitative solutions to a shared repository
- Create and implement solutions that have maximum impact
- Design, socialize, and broaden Treasury’s data platform
- Model and optimize margin across a variety of products
- Build tools to explore complex datasets and identify day-over-day changes, driven by markets movements or changes in firm positioning
- Exchange ideas and best practices with business and technology colleagues
- Own the calculation of key treasury metrics, providing insights, advice, and quantitative leadership where required
What’s required
- Strong academic achievement in a quantitative field with a background in finance or a demonstrated interest in understanding the complexity of financial markets
- Experience contributing to a shared repository, such as Git
- Proficiency in Python and quantitative libraries such as Pandas, PyTorch and NumPy
- Ability to communicate highly complex information in a variety of formats
- Strong work ethic and commitment to carrying solutions from conception to deployment
- Commitment to the highest ethical standards
We take care of our people
We invest in our people, their careers, their health, and their well-being. When you work here, we provide:
- Sports card
- Private life insurance
- Private medical and dental care, with vision allowance
- Private pension scheme
- Volunteer opportunities
- Support for employee-led affinity groups representing women, people of color and the LGBT+ community
- Business travel accident insurance
- Employee assistance program
- Educational assistance reimbursement
About Point72
Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. For more information, visit www.Point72.com/working-here
Ready to apply?
Apply to Point72
Senior ML Engineer - Kimchi (LLM Inference Optimization)
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Why Cast AI?
Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.
The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.
Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.
Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.
Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.
Join us as we build the future of autonomous infrastructure.
About the role
Throughput. Latency. KV cache utilization.
Move those three numbers in the right direction, and two things happen: customers get faster, cheaper inference, and our margins improve. That's the entire thesis of this role. Every kernel you tune, every quantization scheme you ship, every scheduler tweak you land shows up directly in a customer's p99 and on our P&L.
This is a high-impact seat. It is also a high-autonomy seat as you'll be given the room to lead the technical direction of inference optimization at Kimchi, not execute someone else's roadmap.
The problem: running LLMs in production is a moving target. The "right" model and serving configuration for a workload depend on traffic shape, sequence-length distribution, batch dynamics, GPU SKU, memory bandwidth, quantization tolerance, and a dozen other variables that shift week to week. Most teams pick a model once, over-provision GPUs, and absorb the cost. Kimchi is the system that makes that decision automatically - continuously matching workloads to the most cost-efficient, best-performing LLM and serving configuration on a customer's infrastructure. We're building the optimization layer between the model and the hardware, and we need engineers who understand both sides deeply.
Stack
Python; vLLM; SGLang; TensorRT-LLM; PyTorch; CUDA-adjacent tooling; Kubernetes; gRP; ClickHouse; PostgreSQL; GCP Pub/Sub; AWS / GCP / Azure; GitLab CI; ArgoCD; Prometheus; Grafana; Loki; Tempo.
Requirements:
- 5+ years building real ML systems, with a portfolio that shows depth in inference or training infrastructure (not just model training notebooks).
- Strong Python - production services, not scripts.
- Hands-on experience with at least one of vLLM, SGLang, or TensorRT-LLM, and a working mental model of why an inference engine performs the way it does on a given GPU.
- Fluency with quantization tradeoffs - you've measured quality regressions, not just compression ratios.
- Comfort with distributed systems: collective communication, sharding strategies, and the practical failure modes of multi-GPU and multi-node setups.
- A bias toward measurement. You instrument before you optimize, and you can tell the difference between a real win and a benchmark artifact.
- Self-direction. This role comes with a wide mandate; you should be excited by that, not unsettled by it.
Responsibilities:
- Push throughput. Continuous batching, speculative decoding, chunked prefill, kernel-level tuning across vLLM, SGLang, and TensorRT-LLM. Find the ceiling on each GPU SKU, then raise it.
- Cut latency. Attack TTFT and TPOT separately. Profile, identify the actual bottleneck (compute, memory bandwidth, scheduling, networking), and fix it - not the bottleneck you assumed.
- Get more out of the KV cache. Paged attention, prefix caching, eviction policies, cache reuse across requests, quantized KV. This is where a lot of the unrealized throughput lives, and it's an area you'll own.
- Quantize without regressing quality. INT8, INT4, FP8 across weights, activations, and KV. Empirical work: measure quality on real workloads, not just perplexity benchmarks.
- Shrink cold starts and memory footprint. Faster init, smarter weight loading, tighter memory accounting - the difference between a model that scales and one that doesn't.
- Scale across nodes. Distributed inference topologies, network-aware placement, checkpointing strategies that don't bottleneck on storage or interconnect.
- Set the technical direction. Decide what we benchmark, what we adopt, and what we build ourselves. Bring the team along with strong writeups and reproducible experiments.
What’s in it for you?
- Competitive salary (depending on the level of experience).
- Enjoy a flexible, remote-first global environment.
- Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology
- Equity options.
- Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
- Spend 10% of your work time on personal projects or self-improvement.
- Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
- Annual hackathon to spark new ideas and strengthen team bonds.
- Team-building budget and company events to connect with your colleagues.
- Equipment budget to ensure you have everything you need.
- Extra days off to help maintain a healthy work-life balance.
Hiring process
- Screening call with Recruiter
- Hiring Manager interview
- Technical interview (system design)
- Live coding
- Culture Check interview with an executive
As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
Please note that Cast AI does not provide any form of visa sponsorship/work permit.
#LI-Remote
Ready to apply?
Apply to Cast AI
ML Research Engineer - Computer Vision
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As we continue to build...
We’re seeking curious, growth minded thinkers to help shape our vision, structures and systems; playing a key-role as we launch into our ambitious future. If you’re invigorated by our mission, values, and drive to change the world — we’d love to have you apply.
About the role
We are seeking a Machine Learning Engineer with expertise in classical Computer Vision and Deep Learning to contribute to the development of advanced computer vision algorithms focused on item authentication and fingerprinting.
In this role, you will drive the research, development, and deployment of state-of-the-art algorithms and models aimed at accurately determining the authenticity of items and assigning unique digital identities through image analysis. You will also oversee the optimisation of image capture solutions on edge devices and ensure models are interpretable, scalable, and robust.
As a senior team member, you will collaborate cross-functionally to define and deliver impactful projects and contribute to thought leadership in the computer vision domain.
Reports to: ML Manager
Location: Remote: Austria, Bulgaria, Ukraine, Hungary & Romania
What You'll Do:
Leadership & Strategy
- Define the technical roadmap for computer vision projects, aligning with business goals and customer needs.
- Mentor and provide technical guidance to junior engineers, fostering a culture of collaboration, innovation, and excellence.
Advanced Research & Algorithm Development
- Design and develop cutting-edge computer vision models and algorithms for item authentication, fingerprinting, high-quality image capture and related applications.
- Lead innovation by staying ahead of trends in computer vision and machine learning, introducing novel techniques to improve model performance and scalability.
Scalable Systems & Model Deployment
- Oversee the deployment of machine learning models in production, ensuring robustness, efficiency, and seamless integration into systems.
- Optimise algorithms for edge device deployment, focusing on latency, accuracy, and power consumption.
Collaboration & Stakeholder Engagement
- Work closely with internal and external stakeholders to understand product requirements, define project scopes, and deliver actionable solutions.
- Collaborate with engineering teams to integrate CV models into broader system architectures while maintaining system reliability and performance.
Operational Excellence
- Drive best practices in code quality, testing, and documentation. Review and refine code, ensuring modularity, reliability, and adherence to industry standards.
- Analyse production data to identify opportunities for continuous improvement in algorithms and systems.
Who you are:
- Education: Bachelor's or Master’s in Electronics, Physics, Computer Science, or related field.
- Experience: 3-6 years in computer vision and machine learning development.
- Core Expertise:
-
- Proficient in both traditional CV techniques (feature extraction, image processing) and deep learning methodologies.
- Advanced knowledge of Python and C++, with expertise in frameworks such as PyTorch, HuggingFace, OpenCV, and CUDA.
- Extensive experience in designing, training, and deploying CV models at scale, including distributed training and inference pipelines.
- Expertise in API design and deployment for ML model services such as FastAPI, TensorRT, Nvidia Triton, and Ray.
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- Mathematical Proficiency: Strong foundation in probability, statistics, optimisation, linear algebra, and geometry.
- EdgeML Experience: Skilled in deploying and optimising models for iOS devices, with a focus on real-time data processing and resource efficiency.
- Collaboration & Communication: Ability to articulate technical concepts and collaborate in cross-functional, global teams.
- Ownership & Drive: A proactive approach, a high degree of ownership, and an eagerness to tackle complex challenges.
What we offer
- Market-competitive and pay equity-focused compensation structure
- Generous time away, including company holidays, paid time off, sick time, parental leave, and more!
- The agency to innovate, directly impacting product features and customer experiences.
- Opportunity to be part of the core team in a growing setup.
- Opportunities to publish research, contribute to patents, and further develop CVML and edgeML expertise.
We have had an incredible run so far and are laying the foundation for a culture that is fast-paced, entrepreneurial, and rooted in passion, kindness, and positivity. We live by these values – we hire by them, promote them, and celebrate them every day.
If you are a visionary Computer Vision / ML engineer with extensive experience in crafting production-ready solutions, a passion for mentoring, and a desire to solve impactful challenges, we’d love to connect!
Entrupy embraces a diversity of backgrounds and experiences and provides equal opportunity for all applicants and employees. We are dedicated to building a company that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better our work (and work environment) will be for everyone.
Ready to apply?
Apply to Entrupy
WHAT IS BOX
Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia.
By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift.
WHY BOX NEEDS YOU
Box is scaling Box AI and our internal analytics to power smarter decisions across the business.
You will design and deploy AI agents and operational solutions that strengthen both IT and business workflows. These agents will be engineered to minimize hallucinations and prioritize security in their models, data handling, and decision-making. You will also build and maintain MCP servers and developer tools that surface actionable data insights and make it easier for teams to act on them. Overall, your work will connect secure, reliable infrastructure with practical AI capabilities to accelerate informed, low-risk decision-making across the organization.
WHAT YOU’LL Do
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Design, build, and deploy AI agents that automate and improve IT and business workflows while minimizing hallucinations and ensuring reliable outputs.
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Implement model validation, monitoring, and fail-safe mechanisms to detect and reduce incorrect or risky agent behavior.
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Architect secure data handling pipelines (ingest, storage, access controls, encryption) to protect sensitive information used by models and agents.
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Develop and maintain MCP servers and developer tooling that surface actionable insights and make it easy for teams to query, debug, and act on model outputs.
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Integrate observability and telemetry (logging, metrics, tracing) for agents and infrastructure to enable rapid incident detection, root-cause analysis, and performance tuning.
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Build role-based APIs and interfaces that allow business and engineering teams to safely interact with agents and automated workflows.
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Create onboarding, documentation, and training materials to help teams adopt agents and follow best practices for secure, low-risk usage.
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Collaborate with security, compliance, and product teams to define policies, access controls, and approval workflows for model deployment and data use.
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Optimize infrastructure cost and reliability through capacity planning, fault tolerance, CI/CD pipelines, and automated testing for agent behavior and integrations.
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Continuously evaluate new model architectures, tooling, and defenses to improve accuracy, reduce bias, and maintain a secure, scalable AI platform.
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Define canonical schemas, metadata standards, and classification taxonomies to enable trusted decisions and secure data sharing between IT and business teams.
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Create automated metadata pipelines using AI/NLP to extract, normalize, and enrich dataset context (ontology, definitions, sensitivity, lineage), and automate metadata population, semantic matching, and lineage inference for faster cataloging.
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Develop AI agents and tooling that summarize dataset health, recommend joins/transformations, infer lineage, and route remediation tasks to owners.
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Measure and report on adoption, data health, and governance maturity; iterate standards and tooling based on feedback and telemetry.
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Mentor peers and evangelize best practices to raise organizational data maturity and enable reliable AI/analytics at scale.
WHO YOU ARE
We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box.
- An AI-first practitioner who seeks to use AI to accelerate decisions and amplify impact.
- 5+ years software engineering experience; 2+ years building ML/AI products or agent systems.
- Strong Python skills; familiarity with Slack app development preferred.
- Experience with LLMs, prompt engineering, RAG, and vector stores.
- Experience with ML frameworks (PyTorch/TensorFlow) and model evaluation/validation techniques.
- Cloud experience (AWS/Azure/GCP), Kubernetes, Docker, Terraform.
- Observability and monitoring tools (Prometheus, Grafana, ELK, OpenTelemetry).
- Security and compliance familiarity (IAM, encryption, GDPR/HIPAA awareness).
- An engineer with hands-on experience in cloud data warehouses (BigQuery, Snowflake, Redshift, or similar).
- Able to lead cross-functional initiatives and influence stakeholders across IT, Security, and business without direct authority.
- An effective communicator who translates technical concepts into clear guidance for non-technical audiences.
- Preferred skills:
- Google Cloud Platform, BigQuery administration, data access/security modeling, and regulated data classification experience.
- Experience with LangChain, Ray, or agent frameworks.
- Familiarity with semantic metadata/catalog tooling (Dataplex, Looker).
- Experience with CI/CD (GitHub Actions/Jenkins), chaos testing, and load testing.
- Track record of reducing hallucinations and improving model reliability.
BENEFITS
Check out the overview of Life at Box which include general perks and benefits.
Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week. Your Recruiter will share more about how we work and company culture during the hiring process.
At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply!
EQUAL OPPORTUNITY
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation.
For details on how we protect your information when you apply, please see our Personnel Privacy Notice.
For more details on how Box Poland protects your information, please see our Supplemental Personnel and Candidate Privacy Notice.
#LI-Hybrid
#LI-KS2
Ready to apply?
Apply to Box
We are looking for a Senior/Lead ML Engineer to join us at Exadel. This role works closely with data scientists, software engineers, and subject matter experts in different business areas to build production systems capable of processing multi-document PDFs, with automated document type detection and field extraction at scale.
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 Client
The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.
What You’ll Do
- Design and implement end-to-end document intelligence pipelines on AWS
- Develop and optimize ML models for document classification, segmentation, and field extraction
- Build scalable data processing systems handling PDFs up to 2000 pages
- Collaborate with subject matter experts to create and refine requirements for extraction
- Own features from research through production deployment and monitoring
- Establish evaluation frameworks and quality metrics for extraction accuracy
What You Bring
- Advanced knowledge of Python (native, Pandas, ScikitLearn, Tensorflow or Pytorch, PyStats, Pydantic)
- Experience with AWS tools for ML Engineering and ML deployment (Sagemaker, Lambda, Cloudformation/CDK, Step Functions)
- Advanced knowledge of SQL and Data Modeling
- Experience with GenAI for document intelligence, including prompt engineering, RAG (Retrieval Augmented Generation), multi-modal models (vision + text), and production deployment using AWS Bedrock or Azure OpenAI APIs
- Experience in experiment design (power analysis and hypothesis testing)
- Proficiency in both written and verbal communication, required for a remote and largely asynchronous work environment
- Demonstrated capacity to clearly and concisely communicate complex technical problems and propose iterative solutions
- Experience owning a feature from concept to production, including proposal, discussion, and execution
Nice to have
- Experience with document processing tools (AWS Textract, Azure Document Intelligence, or similar OCR/layout detection systems)
- Experience with PDF and Image processing libraries (e.g. PyMuPDF, opnecv, pillow)
- Experience in Machine Learning/ Data Science (e.g., ML algorithm selection, feature engineering, model training, hyperparameter tuning, supervised and unsupervised learning implementation, building a model pipelines, using Machine Learning tools/libraries/frameworks)
- Experience working with AWS big data technologies (Redshift, S3, EMR, Glue, etc.)
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
We are looking for a Senior/Lead ML Engineer to join us at Exadel. This role works closely with data scientists, software engineers, and subject matter experts in different business areas to build production systems capable of processing multi-document PDFs, with automated document type detection and field extraction at scale.
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 Client
The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.
What You’ll Do
- Design and implement end-to-end document intelligence pipelines on AWS
- Develop and optimize ML models for document classification, segmentation, and field extraction
- Build scalable data processing systems handling PDFs up to 2000 pages
- Collaborate with subject matter experts to create and refine requirements for extraction
- Own features from research through production deployment and monitoring
- Establish evaluation frameworks and quality metrics for extraction accuracy
What You Bring
- Advanced knowledge of Python (native, Pandas, ScikitLearn, Tensorflow or Pytorch, PyStats, Pydantic)
- Experience with AWS tools for ML Engineering and ML deployment (Sagemaker, Lambda, Cloudformation/CDK, Step Functions)
- Advanced knowledge of SQL and Data Modeling
- Experience with GenAI for document intelligence, including prompt engineering, RAG (Retrieval Augmented Generation), multi-modal models (vision + text), and production deployment using AWS Bedrock or Azure OpenAI APIs
- Experience in experiment design (power analysis and hypothesis testing)
- Proficiency in both written and verbal communication, required for a remote and largely asynchronous work environment
- Demonstrated capacity to clearly and concisely communicate complex technical problems and propose iterative solutions
- Experience owning a feature from concept to production, including proposal, discussion, and execution
Nice to have
- Experience with document processing tools (AWS Textract, Azure Document Intelligence, or similar OCR/layout detection systems)
- Experience with PDF and Image processing libraries (e.g. PyMuPDF, opnecv, pillow)
- Experience in Machine Learning/ Data Science (e.g., ML algorithm selection, feature engineering, model training, hyperparameter tuning, supervised and unsupervised learning implementation, building a model pipelines, using Machine Learning tools/libraries/frameworks)
- Experience working with AWS big data technologies (Redshift, S3, EMR, Glue, etc.)
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
Senior/Lead Machine Learning Engineer
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We are looking for a Senior/Lead ML Engineer to join us at Exadel. This role works closely with data scientists, software engineers, and subject matter experts in different business areas to build production systems capable of processing multi-document PDFs, with automated document type detection and field extraction at scale.
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 Client
The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.
What You’ll Do
- Design and implement end-to-end document intelligence pipelines on AWS
- Develop and optimize ML models for document classification, segmentation, and field extraction
- Build scalable data processing systems handling PDFs up to 2000 pages
- Collaborate with subject matter experts to create and refine requirements for extraction
- Own features from research through production deployment and monitoring
- Establish evaluation frameworks and quality metrics for extraction accuracy
What You Bring
- Advanced knowledge of Python (native, Pandas, ScikitLearn, Tensorflow or Pytorch, PyStats, Pydantic)
- Experience with AWS tools for ML Engineering and ML deployment (Sagemaker, Lambda, Cloudformation/CDK, Step Functions)
- Advanced knowledge of SQL and Data Modeling
- Experience with GenAI for document intelligence, including prompt engineering, RAG (Retrieval Augmented Generation), multi-modal models (vision + text), and production deployment using AWS Bedrock or Azure OpenAI APIs
- Experience in experiment design (power analysis and hypothesis testing)
- Proficiency in both written and verbal communication, required for a remote and largely asynchronous work environment
- Demonstrated capacity to clearly and concisely communicate complex technical problems and propose iterative solutions
- Experience owning a feature from concept to production, including proposal, discussion, and execution
Nice to have
- Experience with document processing tools (AWS Textract, Azure Document Intelligence, or similar OCR/layout detection systems)
- Experience with PDF and Image processing libraries (e.g. PyMuPDF, opnecv, pillow)
- Experience in Machine Learning/ Data Science (e.g., ML algorithm selection, feature engineering, model training, hyperparameter tuning, supervised and unsupervised learning implementation, building a model pipelines, using Machine Learning tools/libraries/frameworks)
- Experience working with AWS big data technologies (Redshift, S3, EMR, Glue, etc.)
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)
We are looking for a Senior ML Engineer to join us at Exadel. This role works closely with data scientists, software engineers, and subject matter experts in different business areas to build production systems capable of processing multi-document PDFs, with automated document type detection and field extraction at scale.
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 Client
The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.
What You’ll Do
- Design and implement end-to-end document intelligence pipelines on AWS
- Develop and optimize ML models for document classification,segmentation, and field extraction
- Build scalable data processing systems handling PDFs up to 2000 pages
- Collaborate with subject matter experts to create and refine requirements for extraction
- Own features from research through production deployment and monitoring
- Establish evaluation frameworks and quality metrics for extraction accuracy
What You Bring
- Advanced knowledge of Python (native, Pandas, ScikitLearn, Tensorflow or Pytorch, PyStats, Pydantic)
- Experience with AWS tools for ML Engineering and ML deployment(Sag
- emaker, Lambda, Cloudformation/CDK, Step Functions)
- Advanced knowledge of SQL and Data Modeling
- Experience with GenAI for document intelligence, including prompt engineering, RAG (Retrieval Augmented Generation), multi-modal models (vision + text), and production deployment using AWS Bedrock or Azure OpenAI APIs
- Experience in experiment design (power analysis and hypothesis testing)
- Proficiency in both written and verbal communication, required for a remote and largely asynchronous work environment
- Demonstrated capacity to clearly and concisely communicate complex technical problems and propose iterative solutions
- Experience owning a feature from concept to production, including proposal, discussion, and execution
Nice to have
- Experience with document processing tools (AWS Textract, Azure, Document Intelligence, or similar OCR/layout detection systems)
- Experience with PDF and Image processing libraries (e.g. PyMuPDF, opnecv, pillow)
- Experience in Machine Learning/ Data Science (e.g., ML algorithm selection, feature engineering, model training, hyperparameter tuning, supervised and unsupervised learning implementation, building a model pipelines, using Machine Learning tools/libraries/frameworks)
- Experience working with AWS big data technologies (Redshift, S3, EMR, Glue, etc.)
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
We are looking for a Senior ML Engineer to join us at Exadel. This role works closely with data scientists, software engineers, and subject matter experts in different business areas to build production systems capable of processing multi-document PDFs, with automated document type detection and field extraction at scale.
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 Client
The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.
What You’ll Do
- Design and implement end-to-end document intelligence pipelines on AWS
- Develop and optimize ML models for document classification,segmentation, and field extraction
- Build scalable data processing systems handling PDFs up to 2000 pages
- Collaborate with subject matter experts to create and refine requirements for extraction
- Own features from research through production deployment and monitoring
- Establish evaluation frameworks and quality metrics for extraction accuracy
What You Bring
- Advanced knowledge of Python (native, Pandas, ScikitLearn, Tensorflow or Pytorch, PyStats, Pydantic)
- Experience with AWS tools for ML Engineering and ML deployment(Sag
- emaker, Lambda, Cloudformation/CDK, Step Functions)
- Advanced knowledge of SQL and Data Modeling
- Experience with GenAI for document intelligence, including prompt engineering, RAG (Retrieval Augmented Generation), multi-modal models (vision + text), and production deployment using AWS Bedrock or Azure OpenAI APIs
- Experience in experiment design (power analysis and hypothesis testing)
- Proficiency in both written and verbal communication, required for a remote and largely asynchronous work environment
- Demonstrated capacity to clearly and concisely communicate complex technical problems and propose iterative solutions
- Experience owning a feature from concept to production, including proposal, discussion, and execution
Nice to have
- Experience with document processing tools (AWS Textract, Azure, Document Intelligence, or similar OCR/layout detection systems)
- Experience with PDF and Image processing libraries (e.g. PyMuPDF, opnecv, pillow)
- Experience in Machine Learning/ Data Science (e.g., ML algorithm selection, feature engineering, model training, hyperparameter tuning, supervised and unsupervised learning implementation, building a model pipelines, using Machine Learning tools/libraries/frameworks)
- Experience working with AWS big data technologies (Redshift, S3, EMR, Glue, etc.)
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
We are looking for a Senior ML Engineer to join us at Exadel. This role works closely with data scientists, software engineers, and subject matter experts in different business areas to build production systems capable of processing multi-document PDFs, with automated document type detection and field extraction at scale.
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 Client
The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.
What You’ll Do
- Design and implement end-to-end document intelligence pipelines on AWS
- Develop and optimize ML models for document classification,segmentation, and field extraction
- Build scalable data processing systems handling PDFs up to 2000 pages
- Collaborate with subject matter experts to create and refine requirements for extraction
- Own features from research through production deployment and monitoring
- Establish evaluation frameworks and quality metrics for extraction accuracy
What You Bring
- Advanced knowledge of Python (native, Pandas, ScikitLearn, Tensorflow or Pytorch, PyStats, Pydantic)
- Experience with AWS tools for ML Engineering and ML deployment(Sag
- emaker, Lambda, Cloudformation/CDK, Step Functions)
- Advanced knowledge of SQL and Data Modeling
- Experience with GenAI for document intelligence, including prompt engineering, RAG (Retrieval Augmented Generation), multi-modal models (vision + text), and production deployment using AWS Bedrock or Azure OpenAI APIs
- Experience in experiment design (power analysis and hypothesis testing)
- Proficiency in both written and verbal communication, required for a remote and largely asynchronous work environment
- Demonstrated capacity to clearly and concisely communicate complex technical problems and propose iterative solutions
- Experience owning a feature from concept to production, including proposal, discussion, and execution
Nice to have
- Experience with document processing tools (AWS Textract, Azure, Document Intelligence, or similar OCR/layout detection systems)
- Experience with PDF and Image processing libraries (e.g. PyMuPDF, opnecv, pillow)
- Experience in Machine Learning/ Data Science (e.g., ML algorithm selection, feature engineering, model training, hyperparameter tuning, supervised and unsupervised learning implementation, building a model pipelines, using Machine Learning tools/libraries/frameworks)
- Experience working with AWS big data technologies (Redshift, S3, EMR, Glue, etc.)
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
Senior/Lead Machine Learning Engineer
Share this job
We are looking for a Senior ML Engineer to join us at Exadel. This role works closely with data scientists, software engineers, and subject matter experts in different business areas to build production systems capable of processing multi-document PDFs, with automated document type detection and field extraction at scale.
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 Client
The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.
What You’ll Do
- Design and implement end-to-end document intelligence pipelines on AWS
- Develop and optimize ML models for document classification,segmentation, and field extraction
- Build scalable data processing systems handling PDFs up to 2000 pages
- Collaborate with subject matter experts to create and refine requirements for extraction
- Own features from research through production deployment and monitoring
- Establish evaluation frameworks and quality metrics for extraction accuracy
What You Bring
- Advanced knowledge of Python (native, Pandas, ScikitLearn, Tensorflow or Pytorch, PyStats, Pydantic)
- Experience with AWS tools for ML Engineering and ML deployment(Sag
- emaker, Lambda, Cloudformation/CDK, Step Functions)
- Advanced knowledge of SQL and Data Modeling
- Experience with GenAI for document intelligence, including prompt engineering, RAG (Retrieval Augmented Generation), multi-modal models (vision + text), and production deployment using AWS Bedrock or Azure OpenAI APIs
- Experience in experiment design (power analysis and hypothesis testing)
- Proficiency in both written and verbal communication, required for a remote and largely asynchronous work environment
- Demonstrated capacity to clearly and concisely communicate complex technical problems and propose iterative solutions
- Experience owning a feature from concept to production, including proposal, discussion, and execution
Nice to have
- Experience with document processing tools (AWS Textract, Azure, Document Intelligence, or similar OCR/layout detection systems)
- Experience with PDF and Image processing libraries (e.g. PyMuPDF, opnecv, pillow)
- Experience in Machine Learning/ Data Science (e.g., ML algorithm selection, feature engineering, model training, hyperparameter tuning, supervised and unsupervised learning implementation, building a model pipelines, using Machine Learning tools/libraries/frameworks)
- Experience working with AWS big data technologies (Redshift, S3, EMR, Glue, etc.)
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)
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
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.
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
Senior Software Engineer
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Salary Range: PLN 303,800 - 411,000
Subject to alignment to the responsibilities and duties of the role
About Graphcore
At Graphcore, we’re building the future of AI compute.
We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.
As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.
To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.
We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence
Job Summary
As a Senior Software Engineer in the Collectives Simulator team, you will drive the design and development of a large-scale collective communication simulator that enables the analysis of network parameters and the efficient implementation of communication algorithms. The ideal candidate will have experience in designing, developing, and maintaining complex software systems involving custom hardware. You will be responsible for leading development efforts, mentoring junior engineers, and driving technical excellence in our projects.
The Team
The Collectives Simulator team is responsible for building large-scale collective communication simulator for new AI hardware Graphcore is working on. The simulator allows users to in depth analyse communication algorithms in various network topologies.
Responsibilities and Duties
- Designing, implementing, testing and documenting Collectives Simulator for new AI hardware
- Collaborating with other teams to design, implement and test new features
- Troubleshooting and resolving complex technical issues
- Ensuring seamless integration of new hardware with existing AI ecosystem
- Participating in agile development – working as part of a scrum team
Candidate Profile
Essential:
- Extensive experience in software development using C++ programming language
- Experience with Python and C programming
- Excellent problem-solving skills and ability to debug and resolve complex issues
- Strong knowledge of multithreading and inter-process communication (IPC) techniques for development of efficient concurrent applications
- Experience with unit testing frameworks such as Boost.Test and Google Test
- Proficiency with build tools such as CMake, Make and Ninja
- Strong understanding of version control systems (preferred Git)
- Ability to work within a multinational team and with multinational customers
- Excellent written and verbal communication skills
Desirable
- Experience in development of SW simulators
- Experience with RDMA networking libraries (for example libibverbs, libfabric)
- Knowledge of multithreading and parallel computing concepts, including experience with parallel algorithms and optimization for AI/ML and HPC systems
- Experience with Continuous Integration/Continuous Delivery (CI/CD) pipelines, including setting up automated workflows and deployments (for example GitHub Actions, GitLab CI)
- Experience with communication libraries (for example NCCL, MPI)
- Knowledge of machine learning frameworks (for example PyTorch)
- Knowledge of modern C++ standards 17/20
Benefits
In addition to a competitive salary, Graphcore offers annual leave policy, medical and dental health plans, a gym card, and employee pension (matched up to 4%). We review our benefits on a yearly basis to ensure we offer a valuable and rewarding benefits programme to our employees. We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.
Ready to apply?
Apply to Graphcore
Salary Range: PLN 225,400 - 305,000
Subject to alignment to the responsibilities and duties of the role
About Graphcore
At Graphcore, we’re building the future of AI compute.
We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.
As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.
To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.
We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence
Job Summary
As a Software Engineer in the Collectives Team, you will join the effort of developing the Collectives Communication Library which enables users to utilize large computing clusters. The ideal candidate will have experience in designing, developing, and maintaining complex software systems involving custom hardware.
The Team
The Collectives team is responsible for building the Collectives Communication library for new AI hardware Graphcore is working on. The library provides communication primitives optimized to achieve high bandwidth and low latency at very high scale.
Responsibilities and Duties
- Implementing, testing and documenting Collectives Communication Library for new AI hardware accelerator
- Collaborating with other teams to design, implement and test new features
- Troubleshooting and resolving complex technical issues
- Ensuring seamless integration of new hardware with existing AI ecosystem
- Participating in agile development – working as part of a scrum team
Candidate Profile
Essential:
- Experience in software development using C++ programming language
- Experience with Python and C programming
- Good problem-solving skills and ability to debug and resolve complex issues
- Experience with unit testing frameworks such as Boost.Test and Google Test
- Experience with build tools such as CMake, Make and Ninja
- Strong understanding of version control systems (preferred Git)
Desirable
- Experience with RDMA networking libraries (for example libibverbs, libfabric)
- Knowledge of multithreading and parallel computing concepts, including experience with parallel algorithms and optimization for AI/ML and HPC systems
- Knowledge of multithreading and inter-process communication (IPC) techniques for development of efficient concurrent applications
- Experience with Continuous Integration/Continuous Delivery (CI/CD) pipelines, including setting up automated workflows and deployments (for example GitHub Actions, GitLab CI)
- Experience with communication libraries (for example NCCL, MPI)
- Knowledge of machine learning frameworks (for example PyTorch)
- Knowledge of modern C++ standards 17/20
Benefits
In addition to a competitive salary, Graphcore offers annual leave policy, medical and dental health plans, a gym card, and employee pension (matched up to 4%). We review our benefits on a yearly basis to ensure we offer a valuable and rewarding benefits programme to our employees. We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.
Ready to apply?
Apply to Graphcore
Senior Machine Learning Engineer (Large Systems)
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Senior: PLN 260,400 - 352,200
Staff: PLN 350,700 - 474,400
Subject to alignment to the responsibilities and duties of the role - we currently have multiple positions available at both Senior and Staff level
About Graphcore
At Graphcore, we’re building the future of AI compute.
We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.
As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.
To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.
We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence
Job Summary
As a Senior Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. You will work on large scale systems where performance is critical to the success of our projects. Working closely with the Software development and Research teams, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology. We seek engineers with strong technical skills and an understanding of AI model implementation at scale, eager to make a tangible impact in this rapidly evolving field.
The Team
The Applied AI team’s role is to be proxies for our customers, we need to understand the latest AI models, applications, and software to ensure that Graphcore’s technology works seamlessly with the AI ecosystem and at scale. We build reference applications, contribute to key software libraries e.g. optimising kernels for efficiency on our hardware, and collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications.
If you're excited about advancing the next generation of AI models on cutting-edge hardware, we’d love to hear from you!
Responsibilities and Duties
- Implement latest machine learning models and optimise them for performance and accuracy, scaling to 1000s of accelerators.
- Test and evaluate new internal software releases, provide feedback to software engineering teams, make necessary code fixes, and conduct code reviews.
- Benchmark models and key ML techniques to identify performance bottlenecks and improve model efficiency.
- Design and conduct experiments on novel AI methods, implement them and evaluate results.
- Collaborate with Research, Software, and Product teams to define, build, and test Graphcore’s next generation of AI hardware.
- Engage with AI community and keep in touch with the latest developments in AI.
Candidate Profile
Essential:
- Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field.
- Proficiency in deep learning frameworks like PyTorch/JAX.
- Strong Python or C++ software development skills
- Expertise in deep learning from model training to optimisation and evaluation.
- Experience in distributed training or inference of ML models across 64+ accelerators.
- Capable of designing, executing and reporting from ML experiments.
- Developed deep understanding of performance bottlenecks and how to overcome them.
- Ability to move quickly in a dynamic environment
- Enjoy cross-functional work collaborating with other teams.
- Strong communicator - able to explain complex technical concepts to different audiences.
Desirable:
- Experience in one or more of:
- MLOps for Kubernetes-based clusters
- Building production systems with large language models
- Efficient computing based on low-precision arithmetic.
- Experience writing C++/Triton/CUDA kernels for performance optimisation of ML models.
- Familiarity with HPC systems and networking including Infiniband, NVLink, RoCE technologies.
- Have contributed to open-source projects or published research papers in relevant fields.
- Knowledge of cloud computing platforms.
- Keen to present, publish and deliver talks in the AI community.
Benefits
In addition to a competitive salary, Graphcore offers annual leave policy, medical and dental health plans, a gym card, and employee pension (matched up to 4%). We review our benefits on a yearly basis to ensure we offer a valuable and rewarding benefits programme to our employees. We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.
Ready to apply?
Apply to Graphcore
C++ Machine Learning Engineer, Models Training
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Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.
As a C++ Machine Learning Engineer on the AI Models team at Tenstorrent, you’ll work on the training framework behind our most advanced models. You’ll write high-performance C++ code, shape how new layers and operators are implemented, and help models scale across our custom silicon. If you enjoy building the guts of ML systems and seeing them run fast, this role is for you.
This role is hybrid, based out of Warsaw or Gdansk, Poland. We also consider remote candidates on a case-by-case status.
We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.
Who You Are
- Strong in C++ and low-level systems programming, especially in performance-critical code.
- Comfortable thinking in tensors, memory layout, and compiler graphs.
- Familiar with PyTorch and curious about how frameworks map to hardware.
- A builder who enjoys solving technical puzzles and digging into the details.
What We Need
- Extend and optimize our ML training framework with new ops, layers, and training features.
- Debug and tune model performance on Tenstorrent chips.
- Work with compiler and kernel teams to make sure models compile and run as expected.
- Support integration of real-world models and help bring them into production.
What You Will Learn
- How ML frameworks and compilers connect at the system level.
- How to translate training workloads into low-level operations optimized for custom silicon.
- How large-scale model training works under the hood, from memory layout to operator fusion.
- What it takes to build infrastructure that supports fast iteration in research and production.
Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.
This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.
Ready to apply?
Apply to Tenstorrent
GPU Performance Engineer
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What You’ll Do:
The GPU Performance Team is responsible for the automated testing and verification of CoreWeave’s ever-expanding fleet of nodes and infrastructure. The team plays a critical role in ensuring that the hardware we deliver to customers is stable and performant throughout its lifecycle.
About the role:
We are seeking a Senior Software Engineer to join the GPU Performance team to help us build and refine our automation platforms and workflows for reliability, efficiency, scalability and observability. This individual will join a team of Golang and Python developers innovating kubernetes-based solutions to hardware performance testing. As a member of the GPU Performance team, you would have the opportunity to:
- Design and Implement solutions for testing infrastructure at scale through automation.
- Develop platforms, workflows, data structures, API endpoints, and other testing management tools and capabilities.
- Create test plans, deployment automation, dashboards, alerts, and insights into our performance testing platform.
- Grow, change, invest in your teammates, be invested-in, share your ideas, listen to others, be curious, have fun, and, above all, be yourself.
Who You Are:
You are a software engineer with a strong bias toward reliability, automation, and scale. You’re comfortable owning services end‑to‑end and working close to hardware, but your primary tools are Go or Python, Kubernetes, and well‑designed APIs.
- Have experience building and maintaining backend services and APIs (REST/gRPC) and are comfortable integrating with infrastructure systems (Kubernetes, CI/CD, telemetry, metrics backends).
- Are motivated by automation at scale: you’d rather design a controller, workflow, or platform than run one‑off tests by hand.
- Are familiar with system metrics, performance, and health (e.g., GPU/CPU, network, storage, or similar infra) and know how to turn raw metrics into dashboards, alerts, and actionable insights.
- Are comfortable designing and implementing performance tests and validation workflows that run across many nodes and clusters.
- Care about code quality, observability, and operational readiness: logs, metrics, tracing, alerting, and on‑call are part of how you think about building systems.
- Are willing to participate in an on‑call rotation and help own the stability of the platforms you build.
- Work well in a collaborative, curious, and feedback‑driven team: you invest in your teammates, share ideas openly, and are excited to help shape how CoreWeave validates hardware performance at fleet scale.
Preferred:
- Write and maintain Kubernetes custom controllers and operators to automate infrastructure testing.
- Contributions to OSS projects such as llm-d, vLLM, or PyTorch
- Exposure to benchmarking large GPU fleets or multi-region clusters.
- Experience with CUDA kernels, NCCL/SHARP, RDMA/NUMA, or GPU interconnect topologies.
Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team.
Why CoreWeave?
At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:
- Be Curious at Your Core
- Act Like an Owner
- Empower Employees
- Deliver Best-in-Class Client Experiences
- Achieve More Together
We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!
The base salary range for this role is zł321,000 to zł535,000. The starting salary will be determined by job-related knowledge, skills, experience, and the market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).
To fulfil our obligation to protect client data, successful applicants offered employment with CoreWeave will be required to complete a basic criminal record check, conducted in compliance with GDPR. Employment offers are conditional upon receiving satisfactory check results
What We Offer
In addition to a competitive salary, we offer a variety of benefits to support your needs, including:
- Family-level Medical Insurance
- Family-level Dental Insurance
- Generous Pension Contribution
- Life Assurance at 4x Salary
- Critical Illness Cover
- Employee Assistance Programme
- Tuition Reimbursement
- Work culture focused on innovative disruption
Benefits may vary by location.
Our Workplace
While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration
CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.
CoreWeave does not accept speculative CVs. Any unsolicited CVs received will be treated as the property of CoreWeave and your Terms & Conditions associated with the use of CVs will be considered null and void.
Any unsolicited CVs sent by your company to us – that is to say, in any situation where we have not directly engaged your company in writing to supply candidates for a specific vacancy – will be considered by us to be a “free gift”, leaving us liable for no fees whatsoever should we choose to contact the candidate directly and engage the candidate’s services, and will in no way establish any prior claim by your company to representation of that candidate should the candidate’s details also be submitted by any other party.
Export Control Compliance
This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
Updated privacy notice - UK and EU Job Applications
When you apply to a job on this site, the personal data contained in your application will be collected by CoreWeave UK Ltd. (“Controller”), which is located at
Phosphor (6th Floor), 133 Park Street, London, SE1 9EA
and can be contacted by emailing careers.eu@coreweave.com. Controller’s data protection officer can be contacted at privacy@coreweave.com. Your personal data will be processed for the purposes of managing Controller’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, and as is otherwise needed in the recruitment and hiring processes. Such processing is legally permissible under Art. 6(1)(f) of (i) Regulation (EU) 2016/679 (General Data Protection Regulation (“GDPR”) and (ii) the GDPR as it forms part of the laws of the UK (“UK GDPR”), as necessary for the purposes of the legitimate interests pursued by the Controller, which are the solicitation, evaluation, and selection of applicants for employment. Your personal data will be shared with Greenhouse Software, Inc., a cloud services provider located in the United States of America and engaged by Controller to help manage its recruitment and hiring process on Controller’s behalf. With respect to transfers originating from the UK or the European Economic Area ("EEA") to a country outside the UK or the EEA, we implement the appropriate transfer mechanism(s) and other appropriate solutions to address cross-border transfers as required by applicable law. You may request a copy of the suitable mechanisms we have in place by contacting us at privacy@coreweave.com
Your personal data will be retained by Controller as long as Controller determines it is necessary to evaluate your application for employment. Where permitted by applicable law, we may also retain your personal data for a limited period after the recruitment process ends in order to consider you for future job opportunities, respond to legal claims, or comply with record-keeping obligations. Under the GDPR and the UK GDPR, you have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have the right to data portability. In addition, you may lodge a complaint with the relevant supervisory authority: (i) A list of Europe’s data protection authorities can be found here; and (ii) for the UK, this is the Information Commissioner's Office.
For additional information, please see our Privacy Policy.
Ready to apply?
Apply to CoreWeave Europe
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 Inc (Website)
We are seeking a skilled Middle AI Engineer with a deep understanding of the latest trends to join our international team. As a mid-level contributor, you will design and implement agentic AI solutions that enhance automation, decision-making, and system intelligence across the enterprise. This role is ideal for developers with hands-on experience in AI/ML, LLMs, and autonomous agents, and a passion for building scalable, intelligent systems that drive operational excellence.
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 Client
The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.
What You’ll Do
- Design, develop, and deploy AI-driven applications and agentic systems using LLMs, transformers, and reinforcement learning
- Build intelligent automation pipelines for tasks such as incident triage, anomaly detection, and operational decision support
- Collaborate with SRE, DevOps, and product teams to integrate AI capabilities into existing infrastructure and workflows
- Develop and fine-tune models for natural language understanding, system behavior prediction, and autonomous task execution
- Implement scalable APIs and microservices for AI model serving and orchestration.
- Apply prompt engineering and retrieval-augmented generation (RAG) techniques to improve model performance and contextual accuracy
- Contribute to architectural decisions, model evaluation strategies, and continuous learning systems
- Align with team schedules (daily meetings and reviews between 3–7 PM CET)
What You Bring
- Experience in AI/ML development, software engineering, or related roles
- Proficiency in Python and frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers
- Experience with LLMs (e.g., OpenAI, Anthropic, Mistral) and agentic frameworks (e.g., LangChain, AutoGPT, CrewAI)
- Understanding of machine learning, deep learning, and reinforcement learning principles
- Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes)
- Experience with MLOps tools and practices for model deployment
- Knowledge of observability and telemetry systems for AI performance tracking
- Excellent problem-solving skills, communication, and a collaborative mindset
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
We are seeking a skilled Middle AI Engineer with a deep understanding of the latest trends to join our international team. As a mid-level contributor, you will design and implement agentic AI solutions that enhance automation, decision-making, and system intelligence across the enterprise. This role is ideal for developers with hands-on experience in AI/ML, LLMs, and autonomous agents, and a passion for building scalable, intelligent systems that drive operational excellence.
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 Client
The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.
What You’ll Do
- Design, develop, and deploy AI-driven applications and agentic systems using LLMs, transformers, and reinforcement learning
- Build intelligent automation pipelines for tasks such as incident triage, anomaly detection, and operational decision support
- Collaborate with SRE, DevOps, and product teams to integrate AI capabilities into existing infrastructure and workflows
- Develop and fine-tune models for natural language understanding, system behavior prediction, and autonomous task execution
- Implement scalable APIs and microservices for AI model serving and orchestration.
- Apply prompt engineering and retrieval-augmented generation (RAG) techniques to improve model performance and contextual accuracy
- Contribute to architectural decisions, model evaluation strategies, and continuous learning systems
- Align with team schedules (daily meetings and reviews between 3–7 PM CET)
What You Bring
- Experience in AI/ML development, software engineering, or related roles
- Proficiency in Python and frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers
- Experience with LLMs (e.g., OpenAI, Anthropic, Mistral) and agentic frameworks (e.g., LangChain, AutoGPT, CrewAI)
- Understanding of machine learning, deep learning, and reinforcement learning principles
- Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes)
- Experience with MLOps tools and practices for model deployment
- Knowledge of observability and telemetry systems for AI performance tracking
- Excellent problem-solving skills, communication, and a collaborative mindset
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
Middle AI Engineer
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We are seeking a skilled Middle AI Engineer with a deep understanding of the latest trends to join our international team. As a mid-level contributor, you will design and implement agentic AI solutions that enhance automation, decision-making, and system intelligence across the enterprise. This role is ideal for developers with hands-on experience in AI/ML, LLMs, and autonomous agents, and a passion for building scalable, intelligent systems that drive operational excellence.
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 Client
The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.
What You’ll Do
- Design, develop, and deploy AI-driven applications and agentic systems using LLMs, transformers, and reinforcement learning
- Build intelligent automation pipelines for tasks such as incident triage, anomaly detection, and operational decision support
- Collaborate with SRE, DevOps, and product teams to integrate AI capabilities into existing infrastructure and workflows
- Develop and fine-tune models for natural language understanding, system behavior prediction, and autonomous task execution
- Implement scalable APIs and microservices for AI model serving and orchestration.
- Apply prompt engineering and retrieval-augmented generation (RAG) techniques to improve model performance and contextual accuracy
- Contribute to architectural decisions, model evaluation strategies, and continuous learning systems
- Align with team schedules (daily meetings and reviews between 3–7 PM CET)
What You Bring
- Experience in AI/ML development, software engineering, or related roles
- Proficiency in Python and frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers
- Experience with LLMs (e.g., OpenAI, Anthropic, Mistral) and agentic frameworks (e.g., LangChain, AutoGPT, CrewAI)
- Understanding of machine learning, deep learning, and reinforcement learning principles
- Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes)
- Experience with MLOps tools and practices for model deployment
- Knowledge of observability and telemetry systems for AI performance tracking
- Excellent problem-solving skills, communication, and a collaborative mindset
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)
Senior ML Researcher (Spectrum)
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Software engineers and AI agents alike suffer from the same problem: finding that one person or place that will answer their tough, specific question. Many solutions promise to solve this with similarity search in vector databases. Unfortunately, finding the answer is often a puzzle with pieces to be collected across a myriad of contradictory sources and cannot be solved without surgical search and careful reasoning.
Spectrum collects data from an organization's code, docs, and issues, and organizes knowledge in a unified ontology that AI agents can efficiently search through and reason over. We aim to revolutionize the semantic layer space for software-building organizations and move beyond specs that fall out of sync with code, introducing a living spec – one that's extracted from the whole system and used to keep it aligned. Spectrum is meant to be the single source of truth for all product and architectural knowledge.
A resident of JetBrains' startup incubator, Spectrum enjoys startup speed and autonomy, and is backed by 25 years of developer tooling expertise. We are looking for a Senior ML Researcher to develop the core methods that make Spectrum possible – novel approaches to temporal ontology extraction, contradiction detection, and semantic alignment across heterogeneous software artifacts. You will help define and execute the research agenda, while also collaborating with JetBrains Research and external academic advisors.
Your responsibilities will include:
- Developing methods for LLM-based ontology construction from code, documentation, and issue trackers, including contradiction detection and reasoning over the resulting knowledge graph.
- Creating datasets, metrics, and benchmarks that drive measurable improvements across the system.
- Prototyping and validating research ideas, then collaborating with ML and software engineers to bring them to production.
- Collaborating with JetBrains Research and external academic advisors to shape our research agenda.
- Publishing research findings at top venues and representing Spectrum in the research community.
We expect you to have:
- A PhD (or equivalent research experience) in NLP, knowledge graphs, ontology learning, information extraction, or a closely related field.
- A strong publication record in at least one of the following areas: knowledge graph construction, ontology learning, information extraction, or NLP.
- Experience applying LLMs to structured knowledge extraction tasks.
- Experience designing and running rigorous experiments, including hypothesis formulation, ablation studies, and statistical evaluation.
- Strong Python and PyTorch skills, with the ability to implement research ideas from scratch.
- Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences.
- Proficiency in English, both written and verbal.
Our ideal candidate would also have:
- Experience with ontology engineering, semantic web technologies (OWL, RDF, SPARQL), or ontology alignment.
- A background in code analysis, developer tools, or software engineering research.
- Experience with knowledge graph embedding methods or graph neural networks.
- Experience in early-stage startups – you enjoy the zero-to-one phase.
- Actively contributed to relevant open-source projects.
What we offer:
- A competitive salary and JetBrains benefits.
- A generous runway and corporate resources with startup autonomy.
- Full support for publishing ML research and attending industry conferences.
- Collaboration with JetBrains Research and external academic advisors in the knowledge graph and ontology learning community.
- A motivated team that moves fast, with short feedback loops, rapid prototyping, and lots of ownership.
- A rare applied research role where your methods ship in a real product used by software teams.
Why join JetBrains?
- Strong base salary. We offer competitive pay that reflects your skills and experience.
- Flexible work location. Enjoy the freedom to work from home or from the office.
- Remote work. Spend up to 30 days per year working remotely from abroad.
- Extra time off. More days to relax, recharge, and do the things you love.
- Medical insurance allowance. Enjoy peace of mind for you and your family
- Learning and development opportunities. Access to conferences, courses, and language classes.
- Language classes. Pick up the local language or sharpen your English skills.
- Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
- Mental health support. To help you feel your best, we provide easy access to professional mental health services.
- Sports benefit. Enjoy an on-site gym or sports club stipend.
- Internal events. Join company-wide celebrations and team gatherings.
*Some benefits may vary depending on location.
#LI-DNI
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
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Sr. Software Engineer (Python)
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Kaseya is the leading provider of AI-powered IT management and cybersecurity software, serving Managed Service Providers (MSPs) and internal IT organizations worldwide. Our comprehensive platform helps organizations efficiently manage, secure, and automate their IT environments, driving operational efficiency and long-term business success.
Backed by Insight Partners, a leading global software investor, Kaseya has experienced sustained double-digit growth and continues to expand its global footprint. Today, Kaseya supports customers in more than 20 countries and manages over 15 million endpoints worldwide.
Founded in 2000, Kaseya has built a culture centered around innovation, accountability, and results. We are a high-growth, high-performance organization that values individuals who are driven, adaptable, and committed to delivering exceptional outcomes for our customers and teammates alike.
At Kaseya, success comes from embracing challenges, moving with urgency, and continuously raising the bar.
Job Type: Full-Time Experience Level: Senior (7+ years)
We are looking for an experienced Senior Python Developer who excels at designing and architecting large-scale systems. In this role, you will be responsible for leading the development of robust, high-performance software platforms from the ground up. You’ll define architecture, guide technical decision-making, and ensure that our systems are reliable, maintainable, and built for growth. While experience with AI and automation is a plus, your core strength will be scalable architecture, distributed systems, and engineering leadership. You’ll collaborate across teams to deliver systems that power critical business functions and enable innovation.
Essential Duties and Responsibilities:
- Architect, design, and implement large-scale, distributed systems using Python
- Build and maintain scalable, secure, and high-performance platforms
- Design data processing pipelines to handle large volumes of structured and unstructured data
- Collaborate with product and engineering teams to translate business needs into technical solutions
- Drive code quality, performance, and maintainability through reviews, standards, and mentorship
- Ensure solutions meet scalability, availability, and reliability requirements
- Integrate AI/ML components where appropriate to enhance system capabilities
- Stay current with modern architecture patterns, tools, and best practices.
What You’ll Bring
- Proven track record in architecting and delivering complex, high-scale systems
- Strong proficiency in Python for backend development
- Expertise in distributed systems, microservices architecture, and API design
- Experience with vector databases (e.g., ClickHouse)
- Proficiency with containerization (Docker) and orchestration (Kubernetes)
- Familiarity with data engineering concepts (ETL, batch, and streaming pipelines)
- Strong problem-solving skills and ability to make high-impact technical decisions
- Excellent communication and leadership skills
Experience and Qualifications Required:
- Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field.
- Proficient English.
- 7+ years of experience developing end-to-end scalable solutions using Python.
- Experience as a leader, managing and mentoring other engineers.
- Experience with vector databases
Experience with Kubernetes Preferred:
- Proven leadership in extracurricular activities or community involvement, showcasing the ability to take initiative and lead in diverse environments.
- Track record of exceptional personal achievements, such as awards, competitions, or ambitious self-driven projects, reflecting discipline and a high level of motivation.
- Published research or contributions to open-source projects.
- Experience with AI domains such as NLP, computer vision, or reinforcement learning.
- Experience with frameworks (TensorFlow, PyTorch, Scikit-learn)
We work 3 days at Kaseya Krakow office per week, which is mandatory.
Additional information
Kaseya provides equal employment opportunity to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law.
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Senior Technical Researcher/Engineer
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Location: Poland
We Are:
RTB House is a global company that provides state-of-the-art marketing technologies for top brands and agencies worldwide. Its proprietary ad-buying engine is the first in the world to be powered entirely by Deep Learning algorithms, enabling advertisers to generate outstanding results and reach their goals at every stage of the funnel.
You Will:
As a Senior Technical Researcher/Engineer within the AdTech Technical Research Team, you'll play a pivotal role in exploring and understanding the latest technologies in the ad tech domain. You'll be responsible for conducting in-depth research, experimenting with new technologies, and collaborating with cross-functional teams to assess their potential for integration into our systems. Your role will involve a blend of programming, research, and analytical skills to evaluate the effectiveness and feasibility of various ad tech solutions.
Desired Experience:
- 5+ years of experience as researcher or engineer.
- Strong technical proficiency: programming skills and the ability to understand large and complex systems and architectures.
- Openness and willingness to experiment & learn: readiness to take on new challenges, explore new technologies, and continuously expand knowledge in the ad tech domain.
- Independence & proactive attitude: ability to take initiative, make decisions, and act without excessive supervision while maintaining a high standard.
- Goal-oriented mindset: focus on achieving specific project goals and adaptability in a dynamic environment.
- Collaboration & communication: ability to cooperate effectively with teammates and other teams, clearly sharing knowledge and cooperating with external organizations (e.g. major browser vendors, W3C, GitHub discussions).
- Ability to build Proof of Concepts (PoCs): creating prototypes and experimental solutions to evaluate effectiveness and utility.
Selected Technologies & Projects:
- Python, Java, Scala, TypeScript/JavaScript
- PyTorch, NumPy, Pandas
- Jupyter Notebooks
- BigQuery, GCP
- Browser Engines
- Assessing new privacy mechanisms (e.g. Privacy Sandbox APIs) by building PoCs, testing, and suggesting improvements (via GitHub issues or meetings). The goal is to evaluate their feasibility, ensure compliance, and enhance user privacy.
- Exploring solutions for Android and iOS, including creating prototypes to improve performance on mobile platforms. This requires close collaboration with other teams and leveraging ML opportunities.
- Many more — including your own ideas!
We Offer:
- Technology: access to the latest technologies and real opportunity to use of them in a large-scale and highly dynamic projects; extensive and rich datasets
- Impact: your contribution will directly influence the company's business results and outcomes globally, while also giving you the chance to mentor less experienced colleagues in the team
- Wellbeing: extremely flexible conditions – you act when it is convenient for you and devote as much time as you can; you can operate fully remotely
- Culture: be part of a team of enthusiasts with wide experience in ML who willingly share their knowledge and learnings on a daily basis, no BS environment
- Contract Types: B2B
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Apply to RTB HouseSenior Software Engineer
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Location: Poland
We Are:
RTB House is a global company that provides state-of-the-art marketing technologies for top brands and agencies worldwide. Its proprietary ad-buying engine is the first in the world to be powered entirely by Deep Learning algorithms, enabling advertisers to generate outstanding results and reach their goals at every stage of the funnel.
Founded in 2012, and now operating in 90+ markets, RTB House has always been private-by-design. It embraces first-party advertising and a relentless approach to innovation. RTB House offers end-to-end Deep Learning-powered AdTech products and solutions to maximize conversion, drive new customer acquisition, create engagement, and fuel long-term demand for a global base of clients.
You Will:
We're looking for a Senior Software Engineer to help us design, build, and optimize high-performance backend systems that power real-time bidding (RTB) and machine learning at internet scale. You’ll cooperate on software that handles billions of daily transactions with strict latency and reliability constraints - all in a distributed, low-latency environment.
Desired Experience:
- Expertise in designing and implementing complex IT systems.
- Ability to develop user-friendly, versatile tools.
- Proficiency in at least one programming language, such as Python, C++, Java, or Scala, along with expertise in Linux.
- Strong skills in evaluating and optimizing system performance, from initial design through to production troubleshooting.
- Deep understanding of algorithms and data structures.
- Initiative and creativity to improve existing solutions.
- Ability to cooperate effectively both within and across teams.
Additional Advantages:
- Previous experience in the field of Machine Learning is not required, but would be an asset.
- Solid foundation in mathematics.
- Experience with GPU programming and Machine Learning frameworks such as Torch, PyTorch, or TensorFlow.
- Proven experience with distributed systems.
- Familiarity with Big Data technologies such as Hadoop, Kafka, Storm, Spark, or Flink.
- Hands-on experience with Google Cloud Platform (GCP) or similar cloud providers.
In Return, We Offer:
- A highly competitive salary.
- The opportunity to cooperate with a team of enthusiasts experienced in Machine Learning, Big Data, and distributed systems, who are eager to share their knowledge and skills.
- You can cooperate 100 % remotely or choose one of our office spaces in Warsaw or Cracow.
- Access to the latest technologies, with the opportunity to apply them in a large-scale and fast-paced project.
- An opportunity to apply your expertise in optimizing algorithms that support hundreds of millions of internet users and billions of ad views per month within the RTB model.
- The ability to see the immediate impact of your cooperate on the company's business outcomes.
- The possibility of publishing your results.
- Cooperation based on B2B contract.
Daily Responsibilities:
- Developing and maintaining the ML training platform and the bidding infrastructure that evaluates ML models in the production environment.
- Identifying performance bottlenecks and optimizing critical, low-level parts of the system.
- Ensuring the reliability and scalability of implementations, and creating performance and correctness tests for new system components.
- Testing and benchmarking open-source Big Data and ML technologies to assess their suitability for the production environment.
Apply now!
You don't need to tick every box to apply. If you are passionate about digital marketing, send us your CV, and we'll review it.
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Apply to RTB HouseMachine Learning Researcher
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Location: Poland
We Are:
RTB House is a global company that provides state-of-the-art marketing technologies for top brands and agencies worldwide. Its proprietary ad-buying engine is the first in the world to be powered entirely by Deep Learning algorithms, enabling advertisers to generate outstanding results and reach their goals at every stage of the funnel. As an ML Researcher, you will be responsible for its development.
Founded in 2012, and now operating in 90+ markets, RTB House has always been private-by-design. It embraces first-party advertising and a relentless approach to innovation. RTB House offers end-to-end Deep Learning-powered AdTech products and solutions to maximize conversion, drive new customer acquisition, create engagement, and fuel long-term demand for a global base of clients.
You Will:
- Designing and implementing models, most often of deep neural networks, used to predict the behavior and preferences of Internet users
- Analysis of the latest works in the field of Machine Learning
- Conducting and analyzing A/B tests of new solutions
- Developing and testing new approaches to modeling key issues, such as bidding in first-price auctions
Desired Experience:
- 4+ years of hands-on experience with Machine Learning / Data Science
- Interest and willingness to constantly develop in the area of Machine Learning
- Knowledge of statistics and probability
- Proficiency in programming
Selected technologies used:
- Python, Java, Scala
- PyTorch, NumPy, Pandas
- Jupyter Notebooks
Additional advantages will be:
- Experience in the ML industry
- Experience in designing recommendation systems
- Practical knowledge of the tools we use
Sample topics:
- Implementation and analysis of new model architectures, such as convolutional networks, transformer
- Analyze the difference in the distribution of training and production data. Estimating the scale of the problem, identifying the best solution, analysis, implementation, deployment
- Experiments with the use of transfer learning
- A completely new approach to generating product recommendations that is free from proxy targets and uses contrastive loss function
We Offer:
- Cooperate in a team of enthusiasts with experience in machine learning who willingly share their knowledge and skills
- Extremely flexible cooperation conditions - you cooperate when it is convenient for you and devote as much time as you can; you can cooperate fully remotely
- Access to the latest technologies and the possibility of real use of them in a large-scale and highly dynamic project;
- Possibility of using the possessed knowledge and competences in practical applications - while optimizing algorithms supporting hundreds of millions of Internet users and monthly buyers of billions of advertising views in the RTB model, based on extensive data sets
- The effects of your cooperate immediately visible in the company's business results
- Possibility to publish your results
- Cooperation based on B2B contract or Contract of Mandate
- You can cooperate 100 % remotely or choose one of our office spaces in Warsaw or Cracow.
Apply now!
You don't need to tick every box to apply. If you are passionate about digital marketing, send us your CV, and we'll review it.
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Apply to RTB HouseMachine Learning Engineer
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Location: Poland
We Are:
RTB House is a global company that provides state-of-the-art marketing technologies for top brands and agencies worldwide. Its proprietary ad-buying engine is the first in the world to be powered entirely by Deep Learning algorithms, enabling advertisers to generate outstanding results and reach their goals at every stage of the funnel.
Founded in 2012, and now operating in 90+ markets, RTB House has always been private-by-design. It embraces first-party advertising and a relentless approach to innovation. RTB House offers end-to-end Deep Learning-powered AdTech products and solutions to maximize conversion, drive new customer acquisition, create engagement, and fuel long-term demand for a global base of clients.
Desired Experience:
- Expertise in designing and implementing complex IT systems.
- Ability to develop user-friendly, versatile tools.
- Proficiency in at least one programming language, such as Python, C++, Java, or Scala, along with expertise in Linux.
- Strong skills in evaluating and optimizing system performance, from initial design through to production troubleshooting.
- Deep understanding of algorithms and data structures.
- Initiative and creativity to improve existing solutions.
- Ability to work effectively both within and across teams.
Additional Advantages:
- Previous experience in the field of Machine Learning is not required, but would be an asset.
- Solid foundation in mathematics.
- Experience with GPU programming and Machine Learning frameworks such as Torch, PyTorch, or TensorFlow.
- Proven experience with distributed systems.
- Familiarity with Big Data technologies such as Hadoop, Kafka, Storm, Spark, or Flink.
- Hands-on experience with Google Cloud Platform (GCP) or similar cloud providers.
We Offer:
- The opportunity to cooperate with a team of enthusiasts experienced in Machine Learning, Big Data, and distributed systems, who are eager to share their knowledge and skills.
- Flexible cooperate hours, with the possibility of remote cooperate or cooperate from our office in Warsaw.
- Access to the latest technologies, with the opportunity to apply them in a large-scale and fast-paced project.
- An opportunity to apply your expertise in optimizing algorithms that support hundreds of millions of internet users and billions of ad views per month within the RTB model.
- The ability to see the immediate impact of your cooperate on the company's business outcomes.
- The possibility of publishing your results.
- Cooperation based on B2B contract or Contract of Mandate
- You can cooperate 100 % remotely or choose one of our office spaces in Warsaw or Cracow.
Daily Responsibilities:
- Developing and maintaining the ML training platform and the bidding infrastructure that evaluates ML models in the production environment.
- Identifying performance bottlenecks and optimizing critical, low-level parts of the system.
- Ensuring the reliability and scalability of implementations, and creating performance and correctness tests for new system components.
- Testing and benchmarking open-source Big Data and ML technologies to assess their suitability for the production environment.
Apply now!
You don't need to tick every box to apply. If you are passionate about digital marketing, send us your CV, and we'll review it.
Ready to apply?
Apply to RTB HouseReaddle is a pioneering force in the personal productivity space on Apple devices, having shaped the landscape since 2007. Our mission is to empower individuals and teams with innovative technology, enhancing their efficiency and creativity. We are dedicated to crafting exceptional mobile and desktop experiences for those who aspire to achieve more.
About the role:
We're looking for a Principal Data Scientist to own Readdle's company-wide data science roadmap and drive measurable business impact across the organization.
This is a role for a hands-on technical leader with a business mindset — someone who sets methodological standards, prototypes and productionizes predictive and prescriptive systems, and serves as the internal authority on machine learning, autonomous systems, experimentation, causal inference, optimization, and advanced analytics.
You'll work closely with Product, Engineering, Marketing, Data Platform, and Analytics to embed data-driven decision-making into how we build and grow.
What you will do:
- Own the Data Science roadmap and its technical architecture across the company, ensuring focus on the highest-leverage opportunities and scalable foundations.
- Hands-on build and productionize DS models end-to-end: from hypothesis → prototype → reliable production systems that optimize the proper business metrics.
- Methodological excellence: create, maintain, ensure adoption, and evolve advanced analytics frameworks and enablement cross-functionally, including:
- experimentation design and analysis
- causal inference and incrementality testing (incl. diff-in-diff, synthetic control, uplift, geo experiments, incrementality, etc.)
- measurement frameworks and proxy metric design
- optimization & prescriptive analytics
- Inference in marketing measurement (incl. MMM and Bayesian measurement where applicable)
- Develop predictive and prescriptive capabilities, including revenue & churn prediction, time-series forecasting, anomaly detection, and decision-optimization systems.
- Define and defend proxy measurements when direct measurement is infeasible; select the right method for the task and clearly articulate assumptions/tradeoffs.
- Partner with Data Platform & Analytics teams to jointly ensure high-quality, well-modeled, accessible SSOT data for data science;
- Act as the technical bridge between Product, Engineering, and Marketing to ensure data science is embedded in product lifecycle decisions (discovery, rollout, iteration).
- Own & drive standards around DS reproducibility, testing, CI/CD, version control, packaging, documentation, and monitoring.
- Mentor Senior Data Scientists; create learning paths, review work for methodological rigor, and build a culture of technical excellence.
About you:
- Proven experience as a Principal / Staff Data Scientist (or equivalent) delivering cross-functional, company-level impact and setting technical direction.
- Deep expertise in advanced analytics and measurement, including strong proficiency in:
- experimentation and causal inference
- incrementality measurement, optimization / prescriptive analytics
- defining proxy metrics and causal graphs
- Strong track record of building and productionizing ML systems (predictive and/or prescriptive), including:
- time series forecasting and anomaly detection
- causal graphs / structural thinking (when appropriate)
- MMM and/or marketing measurement approaches (as applicable to the business)
- Deep Python expertise plus at least one library in each category:
- ML/DL: (e.g., scikit-learn, XGBoost/LightGBM, PyTorch, TensorFlow)
- Statistics: (e.g., statsmodels, SciPy, etc.)
- Causal inference: (e.g., DoWhy, EconML, CausalML, causalimpact, PyWhy)
- Strong engineering and MLOps fundamentals, including experience with:
- Python in production, containers, and distributed computing
- CI/CD, testing, version control, reproducibility best practices
- modern data modeling frameworks (e.g., dbt/dataform), orchestration patterns, and model monitoring
- AI developer productivity tools and strong craftsmanship
- Excellent business acumen, stakeholder management, and communication: ability to translate complex methods into clear decisions, assumptions, and tradeoffs for senior leaders.
- Ability to operate across ambiguity, prioritize ruthlessly, and deliver outcomes with high standards of rigor.
What you will get at Readdle:
- Customer-centric culture. We put our users at the heart of everything we do. Every team member has the opportunity to engage directly with customers, gaining insights that shape meaningful, delightful experiences for millions worldwide.
- Relentless growth. We’re committed to mastery in our craft. We take ownership of our work, decisions, and outcomes, and we see feedback as a catalyst for growth. Every challenge is an opportunity to learn, evolve, and raise the bar.
- Exceptional people, exceptional team. Our greatest strength is our people. We care deeply about each other, work transparently, and celebrate collective success. Together, we build an environment where everyone can do their best work and grow beyond their potential.
- Real impact. We design products that truly matter. Our focus is on delivering tangible value, simplifying complexity, pushing boundaries, and continuously improving how we build and deliver solutions to our users.
- Culture of innovation. We embrace curiosity and creativity in everything we do. Fresh ideas are not just welcomed, they’re expected, celebrated, and turned into real innovations that shape the future of our products and company.
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Apply to Readdle
Research Engineer (LLM Training and Performance)
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At JetBrains, code is our passion. Ever since we started back in 2000, we have been striving to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.
We’re looking for a Research Engineer who will own the training stack and model architecture for our Mellum LLM family. Your job is easier said than done: make training faster, cheaper, and more stable at a large scale. You’ll profile, design, and implement changes to the training pipeline – from architecture to custom GPU kernels, as needed.
As part of our team, you will:
- Be responsible for improving end-to-end performance for multi-node LLM pre-training and post-training pipelines.
- Profile hotspots (Nsight Systems/Compute, NVTX) and fix them using compute/comm overlap, kernel fusion, scheduling, etc.
- Design and evaluate architecture choices (depth/width, attention variants including GQA/MQA/MLA/Flash-style, RoPE scaling/NTK, and MoE routing and load-balancing).
- Implement custom ops (Triton and/or CUDA C++), integrate via PyTorch extensions, and upstream when possible.
- Push memory/perf levers: FSDP/ZeRO, activation checkpointing, FP8/TE, tensor/pipeline/sequence/expert parallelism, NCCL tuning.
- Harden large runs by building elastic and fault-tolerant training setups, ensuring robust checkpointing, strengthening reproducibility, and improving resilience to preemption.
- Keep the data path fast using streaming and sharded data loaders and tokenizer pipelines, as well as improve overall throughput and cache efficiency.
- Define the right metrics, build dashboards, and deliver steady improvements.
- Run both pre-training and post-training (including SFT, RLHF, and GRPO-style methods) efficiently across sizable clusters.
We’ll be happy to bring you on board if you have:
- Strong PyTorch and PyTorch Distributed experience, having run multi-node jobs with tens to hundreds of GPUs.
- Hands-on experience with Megatron-LM/Megatron-Core/NeMo, DeepSpeed, or serious FSDP/ZeRO expertise.
- Real profiling expertise (Nsight Systems/Compute, nvprof) and experience with NVTX-instrumented workflows.
- GPU programming skills with Triton and/or CUDA, and the ability to write, test, and debug kernels.
- A solid understanding of NCCL collectives, as well as topology and fabric effects (IB/RoCE), and how they show up in traces.
Our ideal candidate would have experience with:
- FlashAttention-2 and 3, CUTLASS and CuTe, TransformerEngine and FP8, Inductor, AOTAutograd, and torch.compile.
- MoE at scale (expert parallel, router losses, capacity management) and long-context tricks (ALiBi/YaRN/NTK scaling).
- Kubernetes or SLURM at scale, placement and affinity tuning, as well as AWS, GCP, and Azure GPU fleets.
- Web-scale data plumbing (streaming datasets, Parquet and TFRecord, tokenizer perf), eval harnesses, and benchmarking.
- Safety and post-training methods, such as DPO, ORPO, GRPO, and reward models.
- Inference ecosystems such as vLLM and paged KV.
#LI-KP1
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
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Apply to JetBrains
Staff Research Engineer (LLM Pre-Training)
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At JetBrains, code is our passion. Ever since we started back in 2000, we have been striving to make the world’s most robust and effective developer tools. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.
We are working on an ambitious new platform that provides AI capabilities to all JetBrains products. Our platform is based on models developed in-house for writing and coding assistance, as well as integration with our strategic partners.
We are looking for a Research Engineer who can contribute to training foundation models for coding tasks. You’ll be working on developing Large Language Models from scratch and deploying them into production environments where they will be accessible by end users across the globe.
We value engineers who:
- Can plan projects and make decisions independently, consulting with others if needed.
- Identify customer needs and prioritize their tasks accordingly.
- Start with the simplest solutions and gradually add complexity as needed.
- Take sole responsibility for an entire subsystem.
- Have a passion for learning and a desire to stay up to date with the latest developments in the LLM field.
In this role, you will:
- Work with stakeholders to convert business requirements into technical specifications.
- Train LLMs from scratch on a large GPU cluster.
- Collect and process pre-training and fine-tuning datasets.
- Support and improve existing subsystems.
We’ll be happy to have you on our team if you have:
- Experience in design, deployment, and support of production ML systems.
- A strong theoretical background in NLP and transformer-based approaches.
- Proficiency with modern deep learning frameworks such as PyTorch and common libraries for NLP.
- Experience in distributed training of multi-billion parameter models.
- Attention to detail in everything you do and great communication skills.
We’d be especially thrilled if you have experience with:
- LLM inference frameworks such as vLLM, DeepSpeed, TensorRT.
- LLM alignment techniques such as RLHF/RLAIF.
- MLOps tools and practices, including CI/CD for ML.
- K8s and Kubeflow.
- Scientific publications in the NLP field.
How we develop JetBrains AI:
- A cluster of hundreds of NVIDIA GPUs as training infrastructure.
- Git for source control management.
- Python, PyTorch, and HuggingFace as an ML stack.
- Kubeflow and Weights & Biases for experiment tracking.
- TeamCity as a CI Automation system.
#LI-KP1
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
Ready to apply?
Apply to JetBrains
Research Engineer (Agentic Models)
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At JetBrains, code is our passion. Ever since we started, back in 2000, we’ve been striving to make the strongest, most effective developer tools on earth. Today, AI-powered assistance and agents are becoming a core part of how developers work in our IDEs.
We’re building multi-step coding agents that can understand large codebases, plan changes, call tools, and iterate with the user. As a Research Engineer in the Agentic Models team, you’ll be responsible for the models, training loops, and evaluation pipelines that power these agents.
You’ll work at the intersection of SFT and RL-style post-training, and product-driven evaluation, using our distributed GPU and MapReduce clusters to ship models into JetBrains products.
As part of our team, you will:
- Design, implement, and maintain SFT and RL post-training pipelines for multi-step coding agents.
- Train and adapt LLMs for agent workflows, including planning, tool use, and multi-step interactions inside JetBrains IDEs.
- Build and develop evaluation and simulation environments where coding agents can act, be measured, and compared on realistic developer tasks.
- Design evaluation frameworks and metrics for agent behavior, analyze traces and logs, and close the loop from evaluation back into training, data, and reward design.
- Analyze training and evaluation results to propose and implement improvements to model architectures, training recipes, and datasets.
- Work with large-scale infrastructure, including distributed training on GPU clusters and large MapReduce-style data processing for pre-training and fine-tuning datasets.
- Collaborate closely with research, product, and infrastructure teams to turn high-level product visions into concrete models, experiments, and shipped features.
We’ll be happy to bring you on board if you have:
- Extensive hands-on experience training LLMs (pre-training, fine-tuning, or post-training) in a research or production setting.
- Deep expertise in modern deep learning frameworks such as PyTorch, and specialized LLM training stacks (e.g. Megatron, NeMo, verl, or similar).
- Strong theoretical and practical understanding of LLM fundamentals: architectures, tokenization, data pipelines, batching, mixed precision, distributed training, and debugging unstable runs.
- The ability to own projects end to end, starting from a high-level problem or product pain point and overseeing it through the design, experimentation, implementation, and iteration phases.
- A product-aware mindset – you care about how developers actually use agents and can translate product needs and failure modes into modeling and evaluation work.
- At least 3 years of Python experience writing clean, maintainable code in modern ML codebases.
Our ideal candidate would have experience with:
- ML orchestrators and workflow tools such as Kubeflow, Dagster, Airflow, ZenML, and/or job schedulers like Kubernetes or SLURM.
- Large-scale data and training pipelines, e.g. MapReduce-style clusters, multi-node GPU training, or workloads on the order of 1M+ CPU/GPU hours.
- Designing and maintaining evaluation pipelines for LLMs or agents, including metrics, dashboards, experiment tracking, and automated regression checks.
- AI agent development, such as tool-using agents, planners, or multi-step coding workflows, and familiarity with agentic frameworks or patterns.
- Experiment tracking and observability using tools like Weights & Biases, MLflow, Langfuse, or similar.
- Inference optimization and serving optimized models in production.
#LI-KP1
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
Ready to apply?
Apply to JetBrains
Research Engineer (Agentic Behavior – Kotlin AI Value Stream)
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At JetBrains, code is our passion. Ever since we started, back in 2000, we've been striving to make the strongest, most effective developer tools on earth. Today, AI-powered coding agents are becoming a core part of how developers write Kotlin – and we want to make sure they write it well.
The Kotlin AI Value Stream team is responsible for how AI agents understand, generate, and improve Kotlin code across all platforms: Android, Kotlin Multiplatform, server-side, web, desktop, and others. We build the evaluation infrastructure, error analysis tools, and post-training pipelines that measure and improve agent behavior on real Kotlin developer tasks.
As a Research Engineer on this team, you'll own the end-to-end loop: Analyze how agents fail on Kotlin → build evals that capture those failures → research and implement methods to fix them → measure the improvement. Your work will directly shape how millions of developers experience Kotlin through AI coding agents.
As part of our team, you will:
Build tools for agentic error analysis
- Design and implement tooling to systematically capture, classify, and analyse errors that AI coding agents make when generating Kotlin code.
- Build observability pipelines over agentic traces – mining patterns from agent sessions in JetBrains IDEs, Junie, Claude Code, Cursor, and other coding agents.
Build evaluation pipelines
- Design, implement, and maintain evaluation pipelines that measure Kotlin code generation quality across dimensions, including correctness, idiomaticity, build success, framework usage, and test coverage.
- Build simulation environments where coding agents can be measured on realistic Kotlin developer tasks – from greenfield KMP projects and Gradle dependency management to migrating Spring applications from Java to Kotlin.
- Own evaluation infrastructure: metrics, experiment tracking, automated regression checks, and reproducible benchmarking.
Research methods for improving agent and model behavior on Kotlin
- Experiment with post-training techniques (SFT, DPO, GRPO) to improve how models handle Kotlin-specific patterns, idioms, and frameworks.
- Investigate context engineering approaches: CLAUDE.md/AGENTS.md files, compiler-as-verifier feedback loops, Kotlin LSP integration, and MCP-based tooling.
- Run experiments to measure impact: A/B comparisons, benchmark suites, and before/after analyses on real codebases.
- Collaborate with model providers (Anthropic, OpenAI, and Google) to translate Kotlin-specific findings into model improvements.
Build public Kotlin benchmarks
- Design and build open-source benchmarks that measure AI coding agent performance on Kotlin tasks and eventually become the standard reference for the ecosystem.
- Create task datasets covering the breadth of Kotlin usage: the server side (Spring, Ktor), multiplatform projects (KMP), build systems (Gradle), Android, library development, and others.
- Include both mined real-world tasks and carefully designed synthetic tasks that test specific Kotlin capabilities.
- Maintain and evolve benchmarks as models improve, ensuring they remain challenging, relevant, and contamination-resistant.
We'll be happy to have you on board if you have:
- Hands-on experience building evaluation or analysis pipelines for LLMs or AI coding agents in a research or production setting.
- Strong Python engineering skills (at least three years), with the ability to write clean, maintainable code in data-heavy and ML-adjacent codebases.
- Experience with data analysis at scale: querying large datasets (SQL/Athena), building data pipelines, and performing statistical analysis of experimental results.
- The ability to own projects end to end – from identifying a problem in agent traces to designing an eval, running experiments, and shipping a fix.
- A product-aware mindset: You care about how agents are actually used by developers and can translate real failure modes into evaluation and training work.
- Familiarity with Kotlin or a strong willingness to develop deep Kotlin expertise (you'll be living in Kotlin codebases daily).
Our ideal candidate would also have experience with:
- Post-training LLMs: SFT, RLHF, DPO, GRPO – either hands-on training or designing the data and reward pipelines that feed into training.
- Modern deep learning frameworks (PyTorch) and LLM training stacks (TRL, verl, Megatron, or similar).
- AI agent development: tool-using agents, multi-step coding workflows, agentic frameworks.
- Evaluation frameworks and tools: Inspect AI, Promptfoo, LM-evaluation-harness, or custom eval pipelines.
- Experiment tracking and observability: Weights & Biases, MLflow, Langfuse, or similar.
- The Kotlin ecosystem: Android, Gradle, KMP, Spring, Ktor – with an understanding of the developer workflows that agents need to support.
- Contributing to or maintaining open-source projects, especially benchmarks or evaluation tools.
Don't check every box? That's okay – if you're excited about this work and bring strong fundamentals, we'd love to hear from you. We're happy to talk and provide the training you need to grow into the role.
Why join JetBrains?
- Strong base salary. We offer competitive pay that reflects your skills and experience.
- Flexible work location. Enjoy the freedom to work from home or from the office.
- Remote work. Spend up to 30 days per year working remotely from abroad.
- Extra time off. More days to relax, recharge, and do the things you love.
- Medical insurance allowance. Enjoy peace of mind for you and your family
- Learning and development opportunities. Access to conferences, courses, and language classes.
- Relocation support. We help make your move as smooth and stress-free as possible.
- Language classes. Pick up the local language or sharpen your English skills.
- Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
- Mental health support. To help you feel your best, we provide easy access to professional mental health services.
- Sports benefit. Enjoy an on-site gym or sports club stipend.
- Internal events. Join company-wide celebrations and team gatherings.
*Some benefits may vary depending on location.
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We are an equal opportunity employer
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Senior Python AI Software Engineer (Contract, Poland, Remote)
This is a full time contract opportunity for those based in Poland. This role is suitable for candidates based in Poland but will require occasional travel to London, UK.
About Nearform
Nearform is an independent team of data & AI experts, engineers, and designers who build intelligent digital solutions and capability at pace. We create AI-enabled solutions that enhance digital experiences, empower developers, and deliver measurable results. In these ways, we partner with ambitious enterprises to deliver enduring impact.
Our deep expertise in solving the world’s most complex digital problems, along with our collaborative, people-first approach, enables enterprises to build breakthrough products and modernise legacy systems by unleashing the power of AI.
Today, our team of 500 experts in 20+ countries is trusted by leading enterprises including Lululemon, Puma, Sun Life, Starbucks, Travelex, Virgin Media 02, and Walmart.
As part of our Engineering function, you will work closely with clients to translate complex business requirements into innovative digital products.
Whether you are a Senior Engineer, Tech Lead, or DevOps Engineer, you will collaborate with distributed teams, leveraging cutting-edge technologies to build secure, high-performance applications. Our Nearform engineers are known for building high quality, scalable solutions that solve real world problems.
The Role
As a Senior Python Developer at Nearform your main task will be designing & building applications using Python. However, as you’ll likely work on a variety of projects your responsibilities may also include:
- Supporting component design, development and maintenance and taking responsibility for personal technical quality standards within the project team.
- Assisting with defining structured practices, especially in source code management, building and deployment.
- Contributing to Nearform tooling and open-source projects.
- Designing and implementing data storage solutions.
- Optimising performance in applications for maximum speed and scalability.
- Using appropriate tools to maintain version control and build processes.
- Getting feedback from users and clients, and building solutions for them.
- Assisting with the analysis of client requirements.
- Working with and supporting the Delivery Architect (team lead) in project execution and timely delivery.
- Collaborating with client teams.
What we are looking for in this person
- Significant experience delivering at a Senior Developer level in an enterprise environment.
- Practical experience of delivering in an agile environment.
- Practical experience of knowledge of developing real-world solutions and platforms.
- Deep understanding of Python.
- Strong experience using modern AI tools at multiple stages of the development cycle
- Deep understanding of SQL Databases (PostgreSQL is preferred).
- Experience with LangChain, AutoGen, or similar frameworks for multi-agent systems.
- Deep understanding of versioning control tools - Git in particular.
- Good understanding of security and performance considerations.
- Understanding of layout aesthetics, responsive design and mobile web development.
- Understanding of architectural and design patterns.
- General familiarity with a wide variety of open-source technologies and tools.
- Excellent analytical and multitasking skills.
- Excellent communication and collaboration skills.
- Professional proficiency in English.
- Experience with spec driven development tools - highly desirable
- Available to travel onsite to London, UK occasionally
Nice to have
-
- Experience in Python and AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Knowledge of Data Science techniques, including data preprocessing, feature engineering, and model evaluation.
Our Interview Process
-
- Talent Call (30 mins via Zoom)
An introductory conversation with a member of our Talent Team to learn more about your background, experience, and career goals. We'll also provide a high-level overview of Nearform and answer any questions you may have. This step helps us assess initial alignment. - Technical Assessment (1 hour via Zoom)
A live coding challenge with one of our trained interviewers. You'll be asked to build a working solution to a problem via screen sharing, demonstrating your Python expertise, problem-solving ability, and coding best practices in a real-time environment. - Hiring Manager Interview (45 mins via Zoom)
A conversation with a Hiring Manager focused on your approach to teamwork, client collaboration, and problem-solving in an enterprise development setting. We'll also share more details about Nearform and the potential projects you may join.
- Talent Call (30 mins via Zoom)
There may also be an additional interview with the client depending on the project
Ready to Join Us?
If you're passionate about building high-quality applications, solving complex challenges, and driving innovation in enterprise development, we’d love to hear from you.
Apply now via our careers page at Nearform and be part of a team that values technical excellence, collaboration, and continuous learning.
Nearform is committed to shaping a better world in all that we do. Our global team is built based on respect, inclusivity, diversity and excellence.
If you require any adjustments to the interview process as part of your application, please let someone from our Talent Team know so they can help.
Ready to apply?
Apply to Nearform