The role

Token Factory is a part of Nebius Cloud, one of the world’s largest GPU clouds, running tens of thousands of GPUs. We are building an inference & fine-tuning platform that makes every kind of foundation model — text, vision, audio, and emerging multimodal architectures — fast, reliable, and effortless to train & deploy at massive scale.

• Advanced Fine-Tuning: Enhancing fine-tuning methodologies - both LoRA-based and full-parameter - for cutting-edge LLMs (e.g., GPT-OSS, Kimi K2.5, DeepSeek V3.1/V3.2, GLM-4.7), focusing on both model quality and training efficiency.

• Inference Optimization: Identifying LLM inference bottlenecks to drive production speedups. This involves building model training and evaluation pipelines in JAX for speculative decoding, experimenting with architectures (dense/MoE, auto-regressive/parallel), and deriving scaling laws to guide resource allocation.                                                                                
• Low Precision Training & Inference: Investigating low-precision (FP8, NVFP4/MXFP4) methodologies for supervised fine-tuning and reinforcement learning - spanning both inference and training - optimized for modern hardware

We expect you to have:

• A profound understanding of theoretical foundations of machine learning and reinforcement learning.

• Deep expertise in modern deep learning for language processing and generation

• Experience with training large models on multiple computational nodes

• Reasonable understanding of performance aspects of large neural network training (sharding strategies, custom kernels, hardware features etc.)

• Strong software engineering skills (we mostly use Python)

• Deep experience with modern deep learning frameworks (we use JAX)

• Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing

• Strong communication and leadership abilities

Nice to have:

• Previous experience working with language models or other similar NLP technologies.

• Familiarity with important ideas in LLM space, such as MHA, RoPE, ZeRO/FSDP, Flash Attention, quantization

• A track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment.

• Strong engineering skills, including experience in developing large distributed systems or high-load web services.

• Open-source projects that showcase your engineering prowess

• Excellent command of the English language, alongside superior writing, articulation, and communication skills.

The Role

We are opening a 3–6 month Early Career program within our AI R&D team. You will work alongside experienced researchers to solve challenges in LLMs, reinforcement learning, and agentic systems.

We are looking for Early talents to support research in:

• Reinforcement learning for agents and reasoning models
• Building reinforcement learning environments
• Efficient model distillation and evaluation

Your responsibilities will include:

• Assist in designing and running experiments to train LLMs and speculators for them
• Help analyze experimental results and document findings
• Write and maintain code for data mining, processing, and model evaluation
• Collaborate with the team to explore new methods in the selected research direction
• Participate in technical discussions and discuss future steps of research
• Advanced methods for efficient speculative decoding
• Inference optimization techniques

We expect you to have:

• Strong knowledge of computer science and machine learning fundamentals
• Experience with Python and familiarity with deep learning frameworks
• Ability to write clean, efficient code
• Strong problem-solving skills and a willingness to learn quickly
• Good communication skills in English
• Permitted to work in the job’s location

Nice to have:

• Previous experience with NLP/reinforcement learning/AI agents projects
• Familiarity with current LLM concepts
• Enrollment in or completion of a degree in Computer Science, AI, or a related field
• Contributions to open-source projects

What we offer

• Competitive salary and comprehensive benefits package
• Mentorship from experienced AI, ML, and cloud infrastructure professionals
• Hands-on experience with real customer workloads and production systems
• Remote work flexibility and a collaborative, supportive team environment
• Opportunity to be considered for a full-time role after the Early Talent Program

We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!

About the Product 

Token Factory is focused on building a next-generation platform that enables companies to seamlessly integrate AI into their products and workflows. Our vision is to create a powerful, open, and scalable alternative for deploying and managing AI systems—making advanced AI infrastructure more accessible to both fast-growing startups and large enterprises. 

We work with a wide range of customers, from AI-first companies to established technology organisations, helping them run AI workloads reliably at scale. Our goal is to become a leading platform for high-performance AI inference, delivering predictable latency, strong reliability, and the ability to scale to meet demanding production needs. 

Customer feedback plays a central role in how we build—our development process is highly iterative and closely aligned with real-world use cases. 

 About the Team 

We are a fast-growing, distributed team of engineers and product professionals based primarily in Europe. The team brings together strong backend, frontend, product, and business expertise, with a shared focus on building impactful, scalable systems. 

While we initially started without deep specialisation in AI/ML, the team has rapidly grown into the  space—demonstrating strong ownership, curiosity, and the ability to tackle complex technical challenges. 

Technology & Environment 

Our work is deeply integrated with a broader cloud and infrastructure ecosystem. We primarily use Go and Python to build and scale backend systems and collaborate closely with teams focused on areas such as infrastructure, observability, billing, and AI research. 

The platform continues to evolve from a lightweight integration layer into a more comprehensive system, including custom infrastructure, optimisations, and deeper control over performance and reliability. 

What We’re Working On 

• Scaling distributed systems: Expanding our platform to handle significantly increased workloads while maintaining performance and reliability  

• Improving reliability: Enhancing system stability and uptime to meet enterprise-grade expectations  

• Optimising AI performance: Continuously adapting to new models, hardware, and runtime improvements  

• Expanding platform capabilities: Building beyond inference into broader AI infrastructure, including data pipelines, customization, and advanced usage features  

We expect you to have:

• 5+ years of professional software development experience.
• Strong software engineering skills (we mostly use Python and Go).
• Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing.
• Experience with developing web services.
• A commitment to maintaining extreme rigor in all job-related activities.

Nice to have:

• Previous experience working with language models or other similar NLP technologies.
• A track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment.
• Strong engineering skills, including experience in developing large distributed systems or high-load web services.
• Open-source projects that showcase your engineering prowess.

Why It’s Interesting 

This is an opportunity to work at the intersection of distributed systems, cloud infrastructure, and applied AI, tackling real-world scalability challenges and shaping how companies adopt AI in production environments. 

The role

This role is for Nebius AI R&D, a team focused on applied research and the development of AI-heavy products. Examples of applied research that we have recently published include:

• investigating how test-time guided search can be used to build more powerful agents;
• dramatically scaling task data collection to power reinforcement learning for SWE agents;
• maximizing efficiency of LLM training on agentic trajectories.

One example of an AI product that we are deeply involved in is Nebius Token Factory — an inference and fine-tuning platform for AI models.

This role will require expertise in distributed systems to build large-scale LLM training platform.

Your responsibilities will include: 

• Designing and developing LLM training platform.
• Maintaining our ML infrastructure, ensuring optimal performance, scalability and reliability.
• Improving job scheduling strategies to minimize resource fragmentation. 

We expect you to have:

• 5+ years of professional software development experience.
• Strong software engineering skills (we mostly use Python and Go).
• Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing.
• Experience with developing web services.
• A commitment to maintaining extreme rigor in all job-related activities.

Nice to have:

• Previous experience working with language models or other similar NLP technologies.
• A track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment.
• Strong engineering skills, including experience in developing large distributed systems or high-load web services.
• Open-source projects that showcase your engineering prowess.

This remote position is open to residents of Cyprus.

About the Role:

We’re looking for a Product Manager who operates where data, strategy, and customer value meet. You’ll own and evolve our analytics domain, shaping the tools and experiences that transform raw data into clear, actionable insight. 

As the leader of the in-product Analytics team, you’ll push an already market-leading capability further by evolving dashboards from static reporting to intelligent systems powered by trend detection, predictive forecasting, anomaly identification, AI-generated insights and prescriptive recommendations that proactively guide customer decisions.

You will own one of Wrike’s most strategically important and highly adopted feature areas, used by our most active users across more than 17,000 customer accounts. This is not incremental optimization, it’s full ownership of the analytics experience end to end, from vision and data foundations to customer-facing insight delivery. You’ll set the direction, make the trade-offs, and drive execution for a capability that directly impacts enterprise decision-making, retention, and expansion.

Our Work Style:

You will have full ownership of the analytics roadmap and prioritization, with dedicated engineering and design resources aligned to this domain. This role operates with high autonomy and executive visibility, shaping not only feature delivery but the long-term direction of analytics across the Wrike platform.

Your Impact:

• Product strategy & roadmap: define and own the long-term vision and prioritization for Wrike’s in-product analytics, with a clear mandate to evolve the experience through AI-powered capabilities such as natural language querying, automated insight generation, forecasting and intelligent recommendations.

• Dashboard & visualization experience: lead the design and evolution of intuitive dashboard experiences, including customizable widgets (charts, tables, calendars), dynamic filtering/parameters, calculated fields, trend views, KPI blocks, and pivot capabilities that help customers understand and act on their data.

• Analytical infrastructure: Ensure the reliability and scalability of the data foundation powering customer-facing analytics, including well-structured data models, performant pipelines, real-time synchronization where applicable, and precise aggregation logic. Own and manage strategic partnerships with analytics technology providers such as Sisense and Snowflake to guarantee seamless integration, performance, and long-term platform evolution.

• Stakeholder engagement & adoption: Work with UX research, customer success, sales and enterprise customers to validate dashboard use cases, gather feedback on analytical needs and pain points, and drive adoption and value realization of analytics capabilities.

Your Qualifications:

• Experience: 4+ years of product management, preferably with SaaS products, with a strong track record in customer-facing analytics or reporting. 
• Customer-Centric Mindset: Strong empathy for customers and a passion for delivering exceptional user experiences.
• Product Discovery: You are experienced in conducting market research and user interviews to identify customer needs and pain points. You are also experienced in testing and validating potential solutions with real users to ensure that they effectively address the identified needs.
• Practical AI experience: Hands-on experience with leveraging AI technologies to streamline work and experience with the creation of AI-powered features.
• Collaboration Skills: Ability to work well with cross-functional teams and communicate effectively with many partners across different parts of the organization.

Why this Role is Unique:

• Intelligence transformation: lead Wrike’s evolution from reporting dashboards to proactive, AI-powered decision support.
• Strategic area ownership: Own a highly adopted, business-critical product area used across 17,000+ customer accounts.
• End-to-End scope: Shape everything from customer-facing insight experiences to underlying data models, pipelines, and strategic analytics partnerships.
• High autonomy, high visibility: Drive roadmap and long-term direction with dedicated resources and meaningful executive exposure.

Why Join Wrike?

• 25 calendar days of paid vacation
• Sick Leave Compensation (5 Paid Uncertified Sick Days)
• Parental Leave: 18 Weeks Maternity / 4 Week Paternity 
• 2 Volunteer Days
• Medical Insurance (Employees + Dependents)
• Hybrid Working Model
• School Allowance (Up to €600/month for school aged kids)
• Simcard w/ Unlimited Internet Access for active employees
• Office Lunch Allowance (via Wolt) on Wednesdays / Thursdays

What’s next?

• Exploratory call with a Recruiter 
• Meeting with Product Director
• Panel Interview with our representatives of Engineering & Design
• Home Task
• Final Interview with CP
  
  

Your recruitment buddy will be Alexandra Vorobyova, Lead Recruiter.



#LI-AV1

This remote position is open to residents of the Czech Republic.

About the Role:

We’re looking for a Product Manager who operates where data, strategy, and customer value meet. You’ll own and evolve our analytics domain, shaping the tools and experiences that transform raw data into clear, actionable insight. 

As the leader of the in-product Analytics team, you’ll push an already market-leading capability further by evolving dashboards from static reporting to intelligent systems powered by trend detection, predictive forecasting, anomaly identification, AI-generated insights and prescriptive recommendations that proactively guide customer decisions.

You will own one of Wrike’s most strategically important and highly adopted feature areas, used by our most active users across more than 17,000 customer accounts. This is not incremental optimization, it’s full ownership of the analytics experience end to end, from vision and data foundations to customer-facing insight delivery. You’ll set the direction, make the trade-offs, and drive execution for a capability that directly impacts enterprise decision-making, retention, and expansion.

Our Work Style:

You will have full ownership of the analytics roadmap and prioritization, with dedicated engineering and design resources aligned to this domain. This role operates with high autonomy and executive visibility, shaping not only feature delivery but the long-term direction of analytics across the Wrike platform.

Your Impact:

• Product strategy & roadmap: define and own the long-term vision and prioritization for Wrike’s in-product analytics, with a clear mandate to evolve the experience through AI-powered capabilities such as natural language querying, automated insight generation, forecasting and intelligent recommendations.

• Dashboard & visualization experience: lead the design and evolution of intuitive dashboard experiences, including customizable widgets (charts, tables, calendars), dynamic filtering/parameters, calculated fields, trend views, KPI blocks, and pivot capabilities that help customers understand and act on their data.

• Analytical infrastructure: Ensure the reliability and scalability of the data foundation powering customer-facing analytics, including well-structured data models, performant pipelines, real-time synchronization where applicable, and precise aggregation logic. Own and manage strategic partnerships with analytics technology providers such as Sisense and Snowflake to guarantee seamless integration, performance, and long-term platform evolution.

• Stakeholder engagement & adoption: Work with UX research, customer success, sales and enterprise customers to validate dashboard use cases, gather feedback on analytical needs and pain points, and drive adoption and value realization of analytics capabilities.

Your Qualifications:

• Experience: 4+ years of product management, preferably with SaaS products, with a strong track record in customer-facing analytics or reporting. 
• Customer-Centric Mindset: Strong empathy for customers and a passion for delivering exceptional user experiences.
• Product Discovery: You are experienced in conducting market research and user interviews to identify customer needs and pain points. You are also experienced in testing and validating potential solutions with real users to ensure that they effectively address the identified needs.
• Practical AI experience: Hands-on experience with leveraging AI technologies to streamline work and experience with the creation of AI-powered features.
• Collaboration Skills: Ability to work well with cross-functional teams and communicate effectively with many partners across different parts of the organization.

Why this Role is Unique:

• Intelligence transformation: lead Wrike’s evolution from reporting dashboards to proactive, AI-powered decision support.
• Strategic area ownership: Own a highly adopted, business-critical product area used across 17,000+ customer accounts.
• End-to-End scope: Shape everything from customer-facing insight experiences to underlying data models, pipelines, and strategic analytics partnerships.
• High autonomy, high visibility: Drive roadmap and long-term direction with dedicated resources and meaningful executive exposure.

Why Join Wrike?

What’s next?

• Exploratory call with a Recruiter 
• Meeting with Product Director
• Panel Interview with our representatives of Engineering & Design
• Home Task
• Final Interview with CP
  
  

Your recruitment buddy will be Alexandra Vorobyova, Lead Recruiter.



#LI-AV1

This remote position is open to residents of Estonia.

About the Role:

We’re looking for a Product Manager who operates where data, strategy, and customer value meet. You’ll own and evolve our analytics domain, shaping the tools and experiences that transform raw data into clear, actionable insight. 

As the leader of the in-product Analytics team, you’ll push an already market-leading capability further by evolving dashboards from static reporting to intelligent systems powered by trend detection, predictive forecasting, anomaly identification, AI-generated insights and prescriptive recommendations that proactively guide customer decisions.

You will own one of Wrike’s most strategically important and highly adopted feature areas, used by our most active users across more than 17,000 customer accounts. This is not incremental optimization, it’s full ownership of the analytics experience end to end, from vision and data foundations to customer-facing insight delivery. You’ll set the direction, make the trade-offs, and drive execution for a capability that directly impacts enterprise decision-making, retention, and expansion.

Our Work Style:

You will have full ownership of the analytics roadmap and prioritization, with dedicated engineering and design resources aligned to this domain. This role operates with high autonomy and executive visibility, shaping not only feature delivery but the long-term direction of analytics across the Wrike platform.

Your Impact:

• Product strategy & roadmap: define and own the long-term vision and prioritization for Wrike’s in-product analytics, with a clear mandate to evolve the experience through AI-powered capabilities such as natural language querying, automated insight generation, forecasting and intelligent recommendations.

• Dashboard & visualization experience: lead the design and evolution of intuitive dashboard experiences, including customizable widgets (charts, tables, calendars), dynamic filtering/parameters, calculated fields, trend views, KPI blocks, and pivot capabilities that help customers understand and act on their data.

• Analytical infrastructure: Ensure the reliability and scalability of the data foundation powering customer-facing analytics, including well-structured data models, performant pipelines, real-time synchronization where applicable, and precise aggregation logic. Own and manage strategic partnerships with analytics technology providers such as Sisense and Snowflake to guarantee seamless integration, performance, and long-term platform evolution.

• Stakeholder engagement & adoption: Work with UX research, customer success, sales and enterprise customers to validate dashboard use cases, gather feedback on analytical needs and pain points, and drive adoption and value realization of analytics capabilities.

Your Qualifications:

• Experience: 4+ years of product management, preferably with SaaS products, with a strong track record in customer-facing analytics or reporting. 
• Customer-Centric Mindset: Strong empathy for customers and a passion for delivering exceptional user experiences.
• Product Discovery: You are experienced in conducting market research and user interviews to identify customer needs and pain points. You are also experienced in testing and validating potential solutions with real users to ensure that they effectively address the identified needs.
• Practical AI experience: Hands-on experience with leveraging AI technologies to streamline work and experience with the creation of AI-powered features.
• Collaboration Skills: Ability to work well with cross-functional teams and communicate effectively with many partners across different parts of the organization.

Why this Role is Unique:

• Intelligence transformation: lead Wrike’s evolution from reporting dashboards to proactive, AI-powered decision support.
• Strategic area ownership: Own a highly adopted, business-critical product area used across 17,000+ customer accounts.
• End-to-End scope: Shape everything from customer-facing insight experiences to underlying data models, pipelines, and strategic analytics partnerships.
• High autonomy, high visibility: Drive roadmap and long-term direction with dedicated resources and meaningful executive exposure.

Why Join Wrike?

• 28 calendar days of paid vacation
• Sick Leave Compensation (5 Paid Uncertified Sick Days)
• Parental Leave: 18 Weeks Maternity / 4 Week Paternity
• 2 Volunteer Days
• Health Insurance (Employees + Dependents)
• Life Insurance Plan
• Utility Allowance (30 EUR/month, subject to taxation)
• Fitness plan (800 EUR/year)
• Full-remote & On-demand access to Co-working space

What’s next?

• Exploratory call with a Recruiter 
• Meeting with Product Director
• Panel Interview with our representatives of Engineering & Design
• Home Task
• Final Interview with CP
  
  

Your recruitment buddy will be Alexandra Vorobyova, Lead Recruiter.



#LI-AV1

THE ROLE

The FlashArray team builds the industry’s most innovative, high-performance, and highly available portfolio of products that are designed for the most demanding mission-critical applications. While we deliver a hardware storage array, over 90% of our engineering staff are software engineers. Our customers are the most important part of our business, and they love FlashArray for its simplicity of management, the constant flow of new and exciting upgrades, and the ability to live on the cutting edge of technology while never taking downtime, ever. Most recently, we extended the value of our FlashArray capabilities into the cloud with CloudSnap and Cloud Block Store for AWS. These new innovations enable our customers to leverage the agility of the public cloud for both traditional IT and cloud-native applications.

This particular role is for a security-minded software engineer. 

WHAT YOU'LL DO

• Design and implement creative new algorithms and technologies for high-performance, highly reliable systems (think six 9’s)
• Own and deliver FlashArray product security features end-to-end, from concept to shipped product
• Analyze and solve challenging problems through persistence and insight, with an eye toward making FlashArray more secure
• Work as a team with smart peers who inspire you and who are inspired by you
• Make customers really happy, because that’s why we do what we do
• Learn a ton, whether you know a lot, or nothing about system software 

WHAT YOU’LL NEED TO BRING TO THIS ROLE...

• Years of experience using a systems programming language (e.g. C++, Java or Python, etc) 
• Natural curiosity with proven design sensibility and willingness to work in a collaborative, team oriented environment
• Experience in any number of related systems software projects e.g: Distributed systems, operating systems, Linux Kernel, Database internals, Hypervisors, Containers, Compiler Optimization, etc.
• Experience with security technologies (encryption, network security, application security, etc.) is a strong plus, but a lack of relevant work experience shouldn’t deter an otherwise qualified candidate from applying 

We are primarily an in-office environment and therefore, you will be expected to work from the Prague office in compliance with Pure’s policies, unless you are on PTO, or work travel, or other approved leave.
 
#LI-ONSITE

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 now building services and agentic tools that provide AI coding agents and end users with deeper context about codebases. Our code retrieval service already delivers meaningful improvements in agent speed and task performance, and we aim to push this further – extracting richer insights than snippets alone at the scale of several hundred thousand repositories. 

We are looking for an AI Engineer who can design and implement agentic tools from scratch, bring them to the end users, and make coding with agents smarter, faster, and more reliable.

In this role, you will:

• Translate product needs into agentic tools and services and ship them to production.
• Scale prototypes to large numbers of users.
• Improve and test our semantic search service.
• Build evaluation pipelines for code retrieval and coding task performance.

We’ll be happy to have you on our team if you have:

• At least five years of hands-on NLP experience.
• Experience in information retrieval systems.
• Strong experience in LLM prompt and tool engineering, as well as with AI agents.
• Solid programming skills in Python and/or Kotlin (and the willingness to learn the language you’re unfamiliar with).
• Experience building and operating production-grade software systems.

We’d be especially thrilled if you have:

• Experience developing in Kotlin or Java.
• Previously worked with code intelligence (e.g. AST, symbol graphs).

#LI-DNI

Bloomreach is seeking a seasoned Senior Machine Learning Engineer to own the design and implementation of cutting-edge AI and GenAI driven algorithmic components for contextual personalization, predictions and behavioral insights that are used to personalize digital experiences for our customers. We are currently allowing flexibility for our employees to work from anywhere for the respective region (Central & Eastern Europe) or we are happy to meet you in our offices in Bratislava (Slovakia) or Brno, Prague (Czechia) on a full-time basis. The salary starts at €4,800 gross per month, along with restricted stock units and other benefits. 

Your Responsibilities:

• Design, develop, and enhance ML/AI models which Predictions, Contextual Personalization and our new agentic workflows
• Process historical data, product catalog and user behaviours to extract hidden relations and features.
• Conduct research to explore ongoing cutting-edge ML techniques and conduct a quick POC.
• Work closely with ML Engineers to integrate and scale ML components to a production-level that can handle terabytes of data.
• Continuously learn and stay up to date with the current state-of-the-art techniques by reading research papers and attending AI/ML conferences.

Qualifications:

• BS/MS degree in Computer Science or a related discipline with a strong mathematical foundation and excellent programming skills (primarily Python)
• At least 3 years of experience building ML-driven fast and scalable ML/analytical algorithms in a corporate/startup environment.
• Strong awareness and understanding of recent trends in Generative AI and LLMs. Experience in working with GenAI stack will be treated as strong credentials.
• Strong understanding of various machine learning and natural language processing technologies, such as classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.
• Excellent exploratory data analysis skills with the ability to slice and dice data at scale using SQL in BigQuery.
• Good problem solving and analytical skills. Ability to learn and adapt to newer ML technologies.
• Exposure to deep learning stack (PyTorch/Keras/TensorFlow) and techniques (Representation/Transfer Learning, RNN/LSTM, Transformers).
• Experience working with Big Data in a cloud based production environment (AWS/GCP/Azure).
• Effective communication skills in English, both verbally and in written form.

#LI-KP1

Bloomreach is seeking a seasoned Senior Machine Learning Engineer to own the design and implementation of cutting-edge AI and GenAI driven algorithmic components for contextual personalization, predictions and behavioral insights that are used to personalize digital experiences for our customers. We are currently allowing flexibility for our employees to work from anywhere for the respective region (Central & Eastern Europe) or we are happy to meet you in our offices in Bratislava (Slovakia) or Brno, Prague (Czechia) on a full-time basis.

Your Responsibilities:

• Design, develop, and enhance ML/AI models which Predictions, Contextual Personalization and our new agentic workflows
• Process historical data, product catalog and user behaviours to extract hidden relations and features.
• Conduct research to explore ongoing cutting-edge ML techniques and conduct a quick POC.
• Work closely with ML Engineers to integrate and scale ML components to a production-level that can handle terabytes of data.
• Continuously learn and stay up to date with the current state-of-the-art techniques by reading research papers and attending AI/ML conferences.

Qualifications:

• BS/MS degree in Computer Science or a related discipline with a strong mathematical foundation and excellent programming skills (primarily Python)
• At least 3 years of experience building ML-driven fast and scalable ML/analytical algorithms in a corporate/startup environment.
• Strong awareness and understanding of recent trends in Generative AI and LLMs. Experience in working with GenAI stack will be treated as strong credentials.
• Strong understanding of various machine learning and natural language processing technologies, such as classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.
• Excellent exploratory data analysis skills with the ability to slice and dice data at scale using SQL in BigQuery.
• Good problem solving and analytical skills. Ability to learn and adapt to newer ML technologies.
• Exposure to deep learning stack (PyTorch/Keras/TensorFlow) and techniques (Representation/Transfer Learning, RNN/LSTM, Transformers).
• Experience working with Big Data in a cloud based production environment (AWS/GCP/Azure).
• Effective communication skills in English, both verbally and in written form.

#LI-KP1

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

Joining Collibra’s Artificial Intelligence team

We are looking for an experienced AI Engineer who will design and deliver Artificial Intelligence solutions that improve our customers' experience and enable informed, data-driven decision making. We seek someone excited about working with cutting-edge technologies to build pragmatic, performant AI solutions. You'll collaborate with a team of outstanding builders around the world, characterized by a love for innovative technology, a desire to solve problems, and a continuous pursuit of building simple, elegant products that delight customers and simplify all levels of data engagement. You will work primarily with Data Scientists, other AI Engineers, and Machine Learning Operations Engineers, as well as teams across Collibra.

This is a hybrid role based in our Prague office. Our hybrid model means you’ll work from the office at least two days each week. This setup helps us stay connected, work more closely together, and keep making progress as a team.

AI Engineers at Collibra are responsible for

• Monitoring of the larger AI/ML landscape, including emerging techniques and current state-of-the-art approaches 
• Transforming prototypes into pragmatic, production-ready solutions which solve impactful business problems
• Creating, operationalizing, and supporting AI/ML models and visualizations to power actionable value and insights
• Evaluating algorithmic results for quality, adaptability, and efficiency
• Contributing to evolving our platforms for Artificial Intelligence and Machine Learning capabilities in support of Collibra’s data products
• Collaborating with cross-functional teams and mentoring junior engineers on AI best practices

You have

• 5+ years of experience delivering production-grade AI/ML projects related to business functions, incorporating advanced techniques (e.g., LLM-based applications, RAG systems, NLP, neural networks, recommendation engines)
• Experience with SQL and relational databases, query authoring as well as working familiarity with a variety of databases (e.g., time series, graph, vector)
• Built and deployed production code in Python with associated AI modules (LangChain, LangGraph, Pandas, Numpy, Tensorflow, etc.)
• Experience with model evaluation, testing frameworks, and validation methodologies
• You must have work authorization to work in Prague, Czech Republic
• A bachelor’s degree or equivalent related working experience is required

You are

• Deeply technical, driven, and analytical about the insights data can deliver
• Able to cut through hype and noise to identify foundational problems and build maintainable, performant solution
• Passionate about the mathematical principles powering the Generative AI revolution and how to drive sustainable value from LLMs and other GenAI technologies
• Experienced supporting diverse stakeholders and working with cross-functional teams in dynamic environments
• A clear communicator who can explain complex technical concepts to both technical and non-technical audiences
• Product-minded with empathy for end users—you consider how people will actually interact with AI features, not just technical sophistication
• Eager to both learn from others and share knowledge ; AI is evolving rapidly and no one has all the answers

Reporting to Collibra’s Senior Manager of AI Engineering, measures of success are

• Within your first month, you will familiarize yourself with the existing data platform and data products by diving into the architecture, existing products, and the Collibra platform ecosystem
• Within your third month, you will start to deliver new AI/ML features into our SaaS platform
• Within your sixth month, you will operationalize AI products into production environments and contribute to our AI roadmap

About the Role:

We’re looking for a Product Manager who operates where data, strategy, and customer value meet. You’ll own and evolve our analytics domain, shaping the tools and experiences that transform raw data into clear, actionable insight. 

As the leader of the in-product Analytics team, you’ll push an already market-leading capability further by evolving dashboards from static reporting to intelligent systems powered by trend detection, predictive forecasting, anomaly identification, AI-generated insights and prescriptive recommendations that proactively guide customer decisions.

You will own one of Wrike’s most strategically important and highly adopted feature areas, used by our most active users across more than 17,000 customer accounts. This is not incremental optimization, it’s full ownership of the analytics experience end to end, from vision and data foundations to customer-facing insight delivery. You’ll set the direction, make the trade-offs, and drive execution for a capability that directly impacts enterprise decision-making, retention, and expansion.

Our Work Style:

You will have full ownership of the analytics roadmap and prioritization, with dedicated engineering and design resources aligned to this domain. This role operates with high autonomy and executive visibility, shaping not only feature delivery but the long-term direction of analytics across the Wrike platform.

Your Impact:

• Product strategy & roadmap: define and own the long-term vision and prioritization for Wrike’s in-product analytics, with a clear mandate to evolve the experience through AI-powered capabilities such as natural language querying, automated insight generation, forecasting and intelligent recommendations.

• Dashboard & visualization experience: lead the design and evolution of intuitive dashboard experiences, including customizable widgets (charts, tables, calendars), dynamic filtering/parameters, calculated fields, trend views, KPI blocks, and pivot capabilities that help customers understand and act on their data.

• Analytical infrastructure: Ensure the reliability and scalability of the data foundation powering customer-facing analytics, including well-structured data models, performant pipelines, real-time synchronization where applicable, and precise aggregation logic. Own and manage strategic partnerships with analytics technology providers such as Sisense and Snowflake to guarantee seamless integration, performance, and long-term platform evolution.

• Stakeholder engagement & adoption: Work with UX research, customer success, sales and enterprise customers to validate dashboard use cases, gather feedback on analytical needs and pain points, and drive adoption and value realization of analytics capabilities.

Your Qualifications:

• Experience: 4+ years of product management, preferably with SaaS products, with a strong track record in customer-facing analytics or reporting. 
• Customer-Centric Mindset: Strong empathy for customers and a passion for delivering exceptional user experiences.
• Product Discovery: You are experienced in conducting market research and user interviews to identify customer needs and pain points. You are also experienced in testing and validating potential solutions with real users to ensure that they effectively address the identified needs.
• Practical AI experience: Hands-on experience with leveraging AI technologies to streamline work and experience with the creation of AI-powered features.
• Collaboration Skills: Ability to work well with cross-functional teams and communicate effectively with many partners across different parts of the organization.

Why this Role is Unique:

• Intelligence transformation: lead Wrike’s evolution from reporting dashboards to proactive, AI-powered decision support.
• Strategic area ownership: Own a highly adopted, business-critical product area used across 17,000+ customer accounts.
• End-to-End scope: Shape everything from customer-facing insight experiences to underlying data models, pipelines, and strategic analytics partnerships.
• High autonomy, high visibility: Drive roadmap and long-term direction with dedicated resources and meaningful executive exposure.

Why Join Wrike?

• 25 calendar days of paid vacation
• Sick Leave Compensation (5 Paid Uncertified Sick Days)
• Parental Leave: 18 Weeks Maternity / 4 Week Paternity 
• 2 Volunteer Days
• Medical Insurance (Employees + Dependents)
• Hybrid Working Model
• School Allowance (Up to €600/month for school aged kids)
• Simcard w/ Unlimited Internet Access for active employees
• Office Lunch Allowance (via Wolt) on Wednesdays / Thursdays

What’s next?

• Exploratory call with a Recruiter 
• Meeting with Product Director
• Panel Interview with our representatives of Engineering & Design
• Home Task
• Final Interview with CP
  
  

Your recruitment buddy will be Alexandra Vorobyova, Lead Recruiter.



#LI-AV1

About the Role:

We’re looking for a Product Manager who operates where data, strategy, and customer value meet. You’ll own and evolve our analytics domain, shaping the tools and experiences that transform raw data into clear, actionable insight. 

As the leader of the in-product Analytics team, you’ll push an already market-leading capability further by evolving dashboards from static reporting to intelligent systems powered by trend detection, predictive forecasting, anomaly identification, AI-generated insights and prescriptive recommendations that proactively guide customer decisions.

You will own one of Wrike’s most strategically important and highly adopted feature areas, used by our most active users across more than 17,000 customer accounts. This is not incremental optimization, it’s full ownership of the analytics experience end to end, from vision and data foundations to customer-facing insight delivery. You’ll set the direction, make the trade-offs, and drive execution for a capability that directly impacts enterprise decision-making, retention, and expansion.

Our Work Style:

You will have full ownership of the analytics roadmap and prioritization, with dedicated engineering and design resources aligned to this domain. This role operates with high autonomy and executive visibility, shaping not only feature delivery but the long-term direction of analytics across the Wrike platform.

Your Impact:

• Product strategy & roadmap: define and own the long-term vision and prioritization for Wrike’s in-product analytics, with a clear mandate to evolve the experience through AI-powered capabilities such as natural language querying, automated insight generation, forecasting and intelligent recommendations.

• Dashboard & visualization experience: lead the design and evolution of intuitive dashboard experiences, including customizable widgets (charts, tables, calendars), dynamic filtering/parameters, calculated fields, trend views, KPI blocks, and pivot capabilities that help customers understand and act on their data.

• Analytical infrastructure: Ensure the reliability and scalability of the data foundation powering customer-facing analytics, including well-structured data models, performant pipelines, real-time synchronization where applicable, and precise aggregation logic. Own and manage strategic partnerships with analytics technology providers such as Sisense and Snowflake to guarantee seamless integration, performance, and long-term platform evolution.

• Stakeholder engagement & adoption: Work with UX research, customer success, sales and enterprise customers to validate dashboard use cases, gather feedback on analytical needs and pain points, and drive adoption and value realization of analytics capabilities.

Your Qualifications:

• Experience: 4+ years of product management, preferably with SaaS products, with a strong track record in customer-facing analytics or reporting. 
• Customer-Centric Mindset: Strong empathy for customers and a passion for delivering exceptional user experiences.
• Product Discovery: You are experienced in conducting market research and user interviews to identify customer needs and pain points. You are also experienced in testing and validating potential solutions with real users to ensure that they effectively address the identified needs.
• Practical AI experience: Hands-on experience with leveraging AI technologies to streamline work and experience with the creation of AI-powered features.
• Collaboration Skills: Ability to work well with cross-functional teams and communicate effectively with many partners across different parts of the organization.

Why this Role is Unique:

• Intelligence transformation: lead Wrike’s evolution from reporting dashboards to proactive, AI-powered decision support.
• Strategic area ownership: Own a highly adopted, business-critical product area used across 17,000+ customer accounts.
• End-to-End scope: Shape everything from customer-facing insight experiences to underlying data models, pipelines, and strategic analytics partnerships.
• High autonomy, high visibility: Drive roadmap and long-term direction with dedicated resources and meaningful executive exposure.

Why Join Wrike?

• 5 Weeks of paid vacation
• Sick Leave Compensation 
  • 5 Paid Uncertified Sick Days
  • 2 weeks fully paid w/ medical certificate, additional 
  • 4 weeks paid at 80% salary rate
• Parental Leave (fully paid): 18 Weeks Maternity / 4 Week Paternity 
• 2 Volunteer Days
• Meal Vouchers (CZK 220 per working day)
• Annual Prague Travel Card (Lítačka)
• Hybrid Working Model
• Benefit budget with flexible options, including a MultiSport card, Canadian Medical membership, contributions to a pension savings plan and additional choices available through Benefit Plus

What’s next?

• Exploratory call with a Recruiter 
• Meeting with Product Director
• Panel Interview with our representatives of Engineering & Design
• Home Task
• Final Interview with CP
  
  

Your recruitment buddy will be Alexandra Vorobyova, Lead Recruiter.



#LI-AV1

About the role:

8am is looking for a Senior Engineer to join our team of seasoned AI engineers who are delivering on the roadmap of AI features to enhance and expand our 8am suite of products. In this role, you will design and build AI-powered features that delight our customers, create new capabilities, and strengthen our platform. You will collaborate with engineers, product managers, and data scientists to bring cutting-edge AI into production, ensuring it drives meaningful business and customer outcomes.

This role is hired through an Employer of Record (EOR) partner in the Czech Republic.

About us:

At 8am, our vision is to power a world where professionals thrive. We start every day on a mission to empower professionals with the most trusted, innovative technology to deliver world-class outcomes for their clients and exceptional financial results for their business. They count on our purpose-built solutions to simplify operations, ensure compliance, and fuel profitable growth, so they can focus on their clients and do more of the work that matters.

Founded in 2005, 8am™ (formerly AffiniPay) is the professional business platform built to help legal, accounting, and other client-focused professionals run stronger, more profitable businesses. Today, more than 250,000 professionals across the U.S. trust 8am to help them work smarter, serve clients better, and unlock their full potential. We have been recognized as one of Inc 5000’s fastest growing companies in the U.S. for 13 years in a row, and as a result, our teams continue to grow as well!

What you'll do:

• Collaborate with product managers and stakeholders to translate business problems into AI-driven solutions.
• Design, implement, and integrate AI features into existing 8am products.
• Partner with the Data team to ensure the right data is collected, enriched, prepared, and staged for AI consumption and use.
• Build and evaluate AI-powered services, from customer-facing prototypes to general availability to all our customers.
• Write high-quality Python code to manipulate data, interact with large language models, and assess performance.
• Develop tools and infrastructure to support reliable, scalable, and secure AI deployment.
• Work with our cloud operations team to deploy AI features, monitor their impact, and continuously improve them.

About you:

• 5+ years of professional software engineering experience, ideally in full stack SaaS application development or backend.
• Proven track record of building and deploying production-ready AI/ML services.
• Hands-on experience with LLM frameworks, platforms and related tooling.
• Strong Python or equivalent modern tech stack development skills and familiarity with data manipulation and evaluation workflows.
• Experience building scalable data infrastructure and integrating models into broader SaaS systems.
• Experience working in AWS cloud environments, or equivalent and with modern DevOps practices.
• Demonstrated experience leveraging AI tools and technologies to improve workflows, enhance decision-making, or drive innovation.
• Preferred location: Brno, Czech Republic.

Nice to have: 

• Bachelor’s degree or higher in Computer Science, Engineering, or a related technical field.
• Experience fine-tuning and optimizing Large Language Models (LLMs).
• Experience integrating AI into streaming or real-time data flows.
• Background in Natural Language Processing (NLP).
• Exposure to fintech or the legal industry.

Why join our new 8am Brno hub?

• Founding Team Impact: Be a founding engineer of our new Brno R&D hub. After a brief 1-6 month integration with U.S. based teams, you will help form fully autonomous, locally-led squads with clear paths to Staff and leadership roles with the exciting opportunity to collaborate face-to-face with your team in our upcoming Brno office.
• Drive our "AI-First" Transformation: We are building a secure, massive-scale "Unified AI Platform". Depending on your squad, you will either help architect this core infrastructure (LLM routing, RAG, agent orchestration) or build directly on top of it.
• Build the Next Generation of Our Platform: Help shape the systems powering products used by more than 250,000 professionals. You’ll work on complex platform capabilities across payments, workflow automation, and AI-powered features as we expand into new professional service markets.

Benefits and Perks

We offer a competitive, locally relevant benefits package designed to support your life in the Czech Republic while giving you access to global opportunities:

• Flexible Time Off (FTO) and 13 paid public holidays aligned with the Czech calendar
• Paid sick leave with additional support through the Czech social security system
• Maternity, paternity, and parental leave in line with Czech regulations, plus additional paid paternity leave from 8am
• Full statutory benefits, including public health insurance, social security, pension, and work accident coverage
• Possible performance bonus opportunities in the future and employee referral rewards

Grow Your Career

• Access to Coursera (including Gen AI Academy) and ongoing professional development
• Clear growth paths, regular feedback, and opportunities for advancement

What Makes 8am Different:

• International company environment with collaboration across Europe and the U.S.
• Opportunities to travel for company events (including potential U.S. visits)
• Engaging team culture with local events, outings, and community initiatives
• High-quality company swag and programs focused on wellness, learning, and connection
• New Brno office coming soon, with opportunities to work in-person and enjoy a flexible hybrid setup

Diversity, equity & inclusion at 8am:

At 8am, we recognize that innovation occurs with a strong team of people who are diverse in background, personality, talent and ideas. Experience comes in many forms and ensuring a diverse and inclusive workplace where we continue to learn from each other is an integral part of our culture. We are committed to creating a welcoming and transparent environment for all that embraces those differences through education, equal access to opportunities and information, inclusionary programs, and community outreach. 

Why 8am 

At 8am, our culture is shaped by the people who bring it to life every day. Together, we build a company rooted in continuous learning, genuine community, holistic wellness, and meaningful engagement—values that empower us as individuals and unite us as a team. Our culture is grounded in our core values: Work Smart, Win Fast; Outshine Ordinary, and We Find a Way. These values drive how we serve our customers and work with each other in a collaborative, inspiring, and empowering environment, every day.

Security advisory:

Our hiring teams at 8am are dedicated to recruiting top talent that share our passion for serving the professional services industry through innovative financial technology.  As such, our Talent Acquisition Team only follows legitimate hiring practices.  We will always communicate with our candidates using emails with the 8am domain and will never ask for sensitive/personal data during the application process.  All interviews take place over phone call, Zoom/Google Meet or in person.  All offers are communicated verbally by our Talent Acquisition Specialists with a written offer letter as a follow up. 

About the role:

We are looking for Engineering Managers to help lead the next generation of our MyCase practice management platform. This role supports two closely related areas: core product platform development and AI-driven capabilities.

This is a hands-on technical leadership role for a manager who can support engineers and delivery at a high level while still contributing technically when needed. Depending on your background and interests, you will lead a team focused on building end-to-end customer workflows across our core platform and/or developing AI-powered features and services that enhance how firms operate.

This role is hired through an Employer of Record (EOR) partner in the Czech Republic.

About us:

At 8am, our vision is to power a world where professionals thrive. We start every day on a mission to empower professionals with the most trusted, innovative technology to deliver world-class outcomes for their clients and exceptional financial results for their business. They count on our purpose-built solutions to simplify operations, ensure compliance, and fuel profitable growth, so they can focus on their clients and do more of the work that matters.

Founded in 2005, 8am™ (formerly AffiniPay) is the professional business platform built to help legal, accounting, and other client-focused professionals run stronger, more profitable businesses. Today, more than 250,000 professionals across the U.S. trust 8am to help them work smarter, serve clients better, and unlock their full potential. We have been recognized as one of Inc 5000’s fastest growing companies in the U.S. for 13 years in a row, and as a result, our teams continue to grow as well!

What you'll do:

• Lead and support a team of software engineers building customer-facing features and/or AI-driven solutions across the stack using modern technologies (e.g., Next.js, React, Ruby on Rails, Python).
• Manage engineers through onboarding, coaching, feedback, career development, and performance management.
• Partner closely with Product, Design, and stakeholders to deliver high-impact product features and/or translate business problems into AI-driven solutions.
• Lead agile team rituals, improve planning, remove bottlenecks, and ensure predictable delivery.
• Maintain strong technical understanding of systems and architecture to guide design decisions and execution.
• Contribute technically through code reviews, architecture discussions, debugging, and hands-on implementation when needed.
• Build and maintain high-quality engineering standards across testing, reliability, maintainability, and operational excellence.
• Drive improvements to engineering processes, workflows, and team health to increase effectiveness and scalability.
• Collaborate with UX, Product, and Cloud/DevOps teams to deploy features (including AI where applicable), monitor impact, and continuously improve them.
• Drive technical initiatives expanding the platform with new capabilities, including AI-powered workflows where relevant, while ensuring performance and scalability.
• Communicate clearly with technical and non-technical stakeholders and share engineering context across teams.
• Contribute to hiring and building a strong engineering organization.

About you:

• Experience managing software engineers and leading teams delivering production software in cross-functional environments.
• Strong technical background in modern web application development, with the ability to engage in design and code discussions.
• You likely bring experience in one or more of the following areas:
  • Platform / Product Engineering:
    • Experience building and scaling customer-facing web applications across frontend and backend systems.
    • Experience building APIs and backend services.
    • Proficiency with SQL and relational databases (PostgreSQL, MySQL).
    • Strong understanding of software design, testing, and maintainability.
  • AI / Data & ML Engineering:
    • Experience building and deploying production-ready AI/ML services.
    • Strong programming skills (e.g., Python or similar) and experience with data workflows and evaluation.
    • Experience integrating models into SaaS products and building scalable data infrastructure.
    • Experience working in cloud environments (e.g., AWS) and modern DevOps practices.
    • Demonstrated ability to leverage AI tools and technologies to drive innovation.
• Across both:
  • Experience working in agile teams and collaborating with distributed teams.
  • Strong communication, collaboration, and documentation skills.

Nice to haves:

• Experience managing multiple teams or larger engineering domains.
• Experience with cloud platforms (AWS, GCP).
• Experience with modern web technologies (React, Next.js, Ruby on Rails).
• Experience building scalable SaaS systems.
• For AI-focused candidates:
  • Experience delivering, fine-tuning, or optimizing LLMs.
  • Background in NLP or real-time/streaming data systems.
• For platform-focused candidates: 
  • Experience improving engineering processes and development workflows.
  • Exposure to fintech or legal industry domains.
  • Bachelor’s degree (or higher) in Computer Science, Engineering, or related field.

Why join our new 8am Brno hub?

• Founding Team Impact: Be a founding engineer of our new Brno R&D hub. After a brief 1-6 month integration with U.S. based teams, you will help form fully autonomous, locally-led squads with clear paths to Staff and leadership roles with the exciting opportunity to collaborate face-to-face with your team in our upcoming Brno office.
• Drive our "AI-First" Transformation: We are building a secure, massive-scale "Unified AI Platform". Depending on your squad, you will either help architect this core infrastructure (LLM routing, RAG, agent orchestration) or build directly on top of it.
• Build the Next Generation of Our Platform: Help shape the systems powering products used by more than 250,000 professionals. You’ll work on complex platform capabilities across payments, workflow automation, and AI-powered features as we expand into new professional service markets.

Benefits and Perks

We offer a competitive, locally relevant benefits package designed to support your life in the Czech Republic while giving you access to global opportunities:

• Flexible Time Off (FTO) and 13 paid public holidays aligned with the Czech calendar
• Paid sick leave with additional support through the Czech social security system
• Maternity, paternity, and parental leave in line with Czech regulations, plus additional paid paternity leave from 8am
• Full statutory benefits, including public health insurance, social security, pension, and work accident coverage
• Performance bonus opportunities and employee referral rewards

Grow Your Career

• Access to Coursera (including Gen AI Academy) and ongoing professional development
• Clear growth paths, regular feedback, and opportunities for advancement

What Makes 8am Different:

• International company environment with collaboration across Europe and the U.S.
• Opportunities to travel for company events (including potential U.S. visits)
• Engaging team culture with local events, outings, and community initiatives
• High-quality company swag and programs focused on wellness, learning, and connection
• New Brno office coming soon, with opportunities to work in-person and enjoy a flexible hybrid setup

Diversity, equity & inclusion at 8am:

At 8am, we recognize that innovation occurs with a strong team of people who are diverse in background, personality, talent and ideas. Experience comes in many forms and ensuring a diverse and inclusive workplace where we continue to learn from each other is an integral part of our culture. We are committed to creating a welcoming and transparent environment for all that embraces those differences through education, equal access to opportunities and information, inclusionary programs, and community outreach. 

Security advisory:

Our hiring teams at 8am are dedicated to recruiting top talent that share our passion for serving the professional services industry through innovative financial technology.  As such, our Talent Acquisition Team only follows legitimate hiring practices.  We will always communicate with our candidates using emails with the 8am domain and will never ask for sensitive/personal data during the application process.  All interviews take place over phone call, Zoom/Google Meet or in person.  All offers are communicated verbally by our Talent Acquisition Specialists with a written offer letter as a follow up. 

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. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

Today, AI-powered assistance and agents are becoming a core part of how developers work in our IDEs. The ML Workflows Engineering team is dedicated to removing infrastructure challenges, streamlining machine learning operations (MLOps), and enabling teams to focus on the innovative work that matters most – building impactful ML models and intelligent agents. As part of the team, you'll play a key role in designing tools, automation, and pipelines that make machine learning development seamless and intuitive.

By integrating cutting-edge MLOps practices and engineering excellence, we aim to maximize productivity and remove the complexity of ML infrastructure so that our teams can push the boundaries of what’s possible in AI.

As part of our team, you will:

• Build tools, automation, and workflows to simplify infrastructure-heavy tasks, empowering AI teams to focus on experimentation and solving core challenges.
• Develop robust monitoring, logging, and tracing systems to ensure the performance and reproducibility of ML workflows in production.
• Design, implement, and maintain end-to-end machine learning pipelines to enable the seamless development, training, and deployment of ML models and intelligent agents.
• Work with large-scale distributed systems, including GPU clusters, to support training, fine-tuning, and evaluation of ML models.
• Collaborate with product and development teams to transform high-level goals into concrete, scalable, and maintainable systems.
• Optimize workflows for reproducibility, scalability, and cost-efficiency while keeping ML teams productive and focused on innovation.

We’ll be happy to have you on our team if you have:

• Hands-on experience with modern MLOps tooling, including Kubernetes, Cloud providers (GCP and AWS), and ML orchestration frameworks.
• A solid understanding of the ML lifecycle from idea to the customer-facing application.
• 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 customer-centric mindset – you care about how ML engineers are actually working and can translate their needs into actionable, scalable, and maintainable architectural decisions.
• Experience with modern CI/CD systems, like GitHub Actions or JetBrains TeamCity.
• At least three 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 ZenML, Dagster, and Airflow.
• Developing infrastructure components and services using cluster solutions like Kubernetes.
• The development of Python-based backend services.
• Creating and maintaining ML pipelines, including legacy ones.
• Experiment tracking and observability using tools like Weights & Biases, MLflow, Langfuse, or similar.

We’d be especially thrilled if you have experience with: 

• LLM inference frameworks such as vLLM, DeepSpeed, and TensorRT.
• Writing and maintaining Python libraries used by internal (or external) ML engineers.
• A strong theoretical background in NLP and transformer-based approaches.
• Writing code in Java and/or Kotlin.

#LI-HYBRID
#LI-MR1

At JetBrains, code is our passion. Ever since we started, back in 2000, we have strived to make the most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

The JetBrains Research team explores ways to use machine learning techniques and agentic approaches to help developers and enhance software development processes. Our work aims to improve the state of ML for code by turning the latest academic advances into practical applications.

Our team is looking for an ML Engineer to participate in a variety of projects in areas such as code completion and generation, AI agents development, and test generation. Though we don’t expect the candidate to have experience in all the tasks we work on, we are looking for someone excited to take on the challenge of working in a diverse set of contexts.

In this role, you will: 

• Design and prototype machine learning solutions to improve the software development workflow.
• Apply existing open-source models or train custom ones as needed.
• Build training and evaluation pipelines that support fast iteration and ensure reproducibility.
• Stay up to date with the latest advancements in applying machine learning to source code.
• Collaborate with colleagues and provide mentorship when appropriate.

We’ll be happy to have you on our team if you: 

• Have experience designing machine learning systems from scratch.
• Have a background in natural language processing or code modeling.
• Have a proven track record of delivering machine learning projects.
• Know how to design reproducible ML experiments.
• Enjoy working on projects with high uncertainty.
• Are proficient in Python, Java, or Kotlin.
• Have hands-on experience with modern ML frameworks.

It would be nice if you: 

• Have experience applying machine learning to programming languages.
• Have hands-on experience building and improving AI agents.
• Have experience in A/B testing and general knowledge of statistics
• Have worked with large-scale data processing pipelines

#LI-KP1

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

Hello from Inbank! If you’ve ever bought something in three installments or financed your gadget purchase online or in a shop, there’s a good chance you’ve used something we built. 

Since you’re reading this, you’re probably looking around, or at least curious about what’s out there. We get it: choosing your next role is a big decision. Let’s get acquainted.

We’re not here to be another bank. At Inbank, we’re a modular finance platform helping businesses grow and customers pay with ease. We believe banking should feel invisible—an effortless layer that powers every great digital experience. Today, our financing rails are woven into the flow of 6,000+ leading retailers, giving around half a million customers a one-tap way to pay while turbo-charging merchants’ growth.

There are already 440+ of us across Estonia, Latvia, Lithuania, Poland, and Czechia, and we’re continuing to grow as we help thousands of retailers expand their business and reach millions of shoppers.

We’re looking for an autonomous, driven, and highly collaborative Business Implementation Manager to join our team in Prague. In this pivotal role, you’ll become a member of our Core Tribe, helping to scale Inbank’s product offering and operational excellence in the Czech market. As the bridge between local business needs in Czechia and our international Product and Technology teams, you will be crucial in turning market insights, local regulations, and new ideas into actionable, functioning product solutions. This role is about ownership and ensuring our embedded finance products deliver a real and measurable impact for our Czech customers and partners. If you thrive in a fast-paced environment and want to shape the future of embedded finance in Czechia, your next big challenge starts here.

Where does this role sit?

The Business Implementation Team within our Core Tribe acts as the crucial link between our products, technology, and local markets. We:

• Configure and tailor products across their entire lifecycle.
• Ensure that day-to-day business operations run smoothly, efficiently, and reliably.
• Connect the local business unit with our Product and Technology teams—promoting standardisation while addressing market-specific needs.

What will you do?

You’ll be the go-to expert for how our products function in the Czech market — the person who ensures everything works as intended and evolves as the market does.

• Own product configuration for Czechia across the full lifecycle — from initial launch to continuous optimisation and eventual phase-out (incl among others adjusting product setups when pricing, regulations, campaigns, or internal processes shift).
• Manage change effectively: adjust product setups when pricing, regulations, campaigns, or internal processes shift.
• Support day-to-day product and business operations for the Czech portfolio, with a strong focus on BNPL and lending products.
• Translate local needs into action: define market-specific requirements for Product and Tech teams and carry out business testing before releases.
• Close market gaps: lead or contribute to projects that align features, processes, and quality standards across countries.
• Own product-related documentation: configure and maintain customer-facing templates (contracts, pre-contractual info, notifications) in cooperation with our Legal and Product teams.
• Be a trusted partner for Sales and Customer Support: help teams use our products and platform effectively, provide guidance, and collect insights from the field.

Ideally, you would have:

• Proven experience in roles related to Product Operations, preferably in financial services or fintech would be an asset.
• A beneficial asset for this role would be a practical familiarity with Buy Now, Pay Later (BNPL) and consumer lending products, particularly their end-to-end lifecycle, spanning from origination through repayment and collections.
• Hands-on experience with projects or change delivery – coordinating multiple stakeholders, following timelines, and documenting decisions.
• Strong analytical thinking – you enjoy digging into logic, parameters, and edge cases.
• Comfortable working with data; basic SQL skills are a valuable advantage, but not a hard requirement. We are willing to teach simple queries.
• Excellent communication skills – able to explain complex things in simple language to different audiences (tech, legal, sales, partners).
• High level of ownership and reliability – you keep things moving and don’t drop the ball.
• Fluent Czech is essential for local market cooperation, and Fluent English (spoken and written) is required for daily work with our international teams.

You will do great here if you are a flexible, collaborative, and self-starting individual with a natural curiosity and a strong desire to understand the mechanics of the business. This role requires you to enjoy being close to both business and tech, translating ideas and regulations into precise configuration and processes, and thriving on structured work with real impact—where your changes are felt by thousands of customers. You must be comfortable taking full ownership, proactively identifying efficiency gaps using data and numbers, and possessing the flexible mindset needed to blend nicely into the local team while confidently asking questions and pushing for clarity.

At Inbank, we believe great work deserves great rewards:

• 5 additional vacation days per year to ensure you have plenty of time to recharge.
• 6 weeks of fully paid sabbatical after 4 years of working at Inbank.
• Hybrid working model with the flexibility to work from home.
• Modern office in the centre of Prague where we are always happy to see you.
• Small, friendly team that values open communication and a collaborative spirit.
• Pluxee Card with a flexible benefit budget tailored to your lifestyle.
• Meal compensation to support your daily lunch breaks.

Sounds like a fit? 

Apply, and our recruitment team will be in touch. If you’re unsure but curious, apply anyway – we’re happy to explore together. At Inbank, we strive to have an inclusive and diverse working environment, so we welcome you to apply even if you don’t match every single point but believe you’d do well in this role.