Job Overview

Wargaming is looking for an Armored Vehicle Technical Designer to join our team and help bring historical military vehicles to life in our games.

At Wargaming, respect for history is at the heart of everything we do. The military vehicles featured in our games are recreated with great care and attention to detail. Just like real vehicles, they all start on the drawing board. That is why we are looking for a Technical Designer — an engineer who can turn historical references, sketches, and blueprints into accurate 3D models and technical drawings of real-world military vehicles.

This role is crucial to the entire production process: the quality of the drawings directly affects how our in-game models are created. We strongly believe that the best results come from combining solid engineering expertise with a deep understanding of history.

Reports to

Head of Military Design and Research

What will you do?

• Work with various historical photos and video materials on military equipment

• Create accurate 3D models and technical drawings of military vehicles in SolidWorks, using available reference materials

• Review and validate vehicle models to ensure historical and technical accuracy

What are we looking for?

• Secondary technical or higher technical education (Mechanical Engineer / Design Engineer)

• Experience working in machine-building companies or engineering design offices

• Good understanding of tracked and wheeled vehicle construction

• Strong knowledge of manufacturing methods for different types of parts and assemblies (casting, stamping, fabric/canvas components)

• Experience working with CAD software (SolidWorks)

• English language skills at a good level

• C1- C2 Russian proficiency (for the effective search, reading, and comprehension of historical and engineering materials related to military equipment)

What additional skills will help you stand out?

• Knowledge of armored vehicle history from World War II and the post-war period

• Experience with or interest in scale model building

Work mode

• Onsite 

Benefits

Benefits and perks are tailored to the local market and culture. Our benefits in Belgrade include:

• Additional vacation days based on years of service at Wargaming: up to 5 days on top of the statutory minimum

• Additional paid time off (5 Personal Days, Birthday Leave, Marriage Leave, Compassionate Leave)

• Sick Leave Compensation, Maternity Leave Benefits  

• Premium Private Health Insurance

• Career development and education opportunities within the company

• English clubs and platform for learning languages

• Mental well-being program (iFeel)

• Commuting allowance

• Company events

• FitPass membership

• Discounts for employees

• Personal Gaming Account

• Coffee, fruits, and snacks in the office

• On-site canteen with subsidized prices for food and drinks

• Seniority Awards

• Referral program - you can recommend the best talents to the Company and receive a reward

Please submit your CV in English to ensure smooth processing and review.

As a Platform Engineer, you will build and evolve the platform that takes our machine learning models from research to reliable, scalable production. Working at the intersection of machine learning, infrastructure, and software engineering, you will partner closely with ML engineers to improve performance, reliability, cost efficiency, and the overall maturity of our ML platform.

If you enjoy designing robust systems, automating complex workflows, and optimising ML platforms for performance, reliability, and cost, this role is for you.

What you will be doing

• Designing, building, and maintaining scalable ML platforms, tools, and infrastructure that enable teams to efficiently train, experiment with, and evaluate machine learning models
• Modernising the ML platform by migrating workloads from SGE Grid Engine to Kubernetes‑based orchestration systems such as Slurm or Ray, improving scalability, reliability, and efficiency of ML workflows.
• Modernising the ML workflows with cutting-edge tools for pipeline orchestration, experiment tracking, observability, and model versioning.
• Optimising ML infrastructure to maximise GPU utilisation, streamline scheduling, and enhance distributed training performance.
• Building and maintaining CI/CD workflows for ML systems, including model versioning, testing, and release automation.
• Collaborating closely with ML engineers to ensure models are deployable, reproducible, and production-ready.
• Continuously evaluating new tools, frameworks, and approaches to improve the efficiency, reliability, and maturity of the ML platform.
• Promoting operational excellence by reducing manual processes, improving automation, and raising the overall platform reliability and efficiency.
• Contributing to the ML platform roadmap, tooling standards, and best practices to support excellence in Voice AI.

Who we are looking for:

• Python skills for production systems
• Proven ability to optimise model training and inference, including GPU-based and distributed workloads
• Experience with containerisation and orchestration tools (e.g., Docker, Kubernetes)
• Strong background in monitoring, observability, and reliability for ML platforms
• Hands-on experience across cloud, on-premises, and hybrid infrastructure environments
• Solid understanding of ML fundamentals, including training, evaluation, and lifecycle management
• Familiarity with CI/CD, version control, reproducible workflows, and ML frameworks (e.g., PyTorch, TensorFlow)
• Experience with large-scale data/AI platforms, experiment tracking, and governance, plus strong cross-team collaboration skills

At Tenstorrent, we believe the future of computing must be open, which is why our interns don’t just watch from the sidelines - they help build the core of it. We provide a "code-to-career" pipeline where students collaborate with industry experts to solve high-stakes problems in RISC-V and AI hardware-software co-design. By joining us, you are taking an internship to democratize high-performance computers that are accessible to everyone. During this internship, you will bridge the gap between academic theory and industry practice  

This role is on-site, full time, based in Belgrade, Serbia.

Who You Are

• You are in your final year of undergraduate study, a recent graduate, or currently pursuing a master's degree in Computer Science or Electronics Engineering. 
• You enjoy tackling complex technical problems and naturally approach them with structured, analytical thinking. 
• You have written hardware in Verilog or VHDL and understand how HDL translates to physical logic. 
• You are genuinely curious about how processors and computer architectures work, not just in theory but at the implementation level. 
• You are comfortable working in C/C++ and can get things done with scripting languages such as Python, Perl, or Tcl. 
• Nice to have: experience in advanced digital hardware and system architecture (e.g., high‑frequency logic, processors/GPUs, SoCs and memory systems, real‑time hardware/firmware) and modern machine learning, including deep learning frameworks and models.

What We Need

• Architecture exploration and modeling.
• Implementation of Tenstorrent IP and SOC RTL logic in Verilog.
• Verification of Tenstorrent's IP and SOC logic using advanced verification methodologies.
• Low-level software development for hardware testing.

What You Will Learn

• Exposure to the complete RTL-to-GDSII flow. 
• Front-End Design & Logic Synthesis: Mastering Verilog/SystemVerilog to translate architectural specs into optimized hardware descriptions.
• Verification Methodologies: Developing robust testbenches and utilizing UVM (Universal Verification Methodology) and/or CocoTb to ensure "bug-free" silicon.
• Performance benchmark and optimizations
• Timing & Power Analysis: Performing Static Timing Analysis (STA) and power optimization to meet aggressive performance targets.
• Sign-off & Tape-out Readiness: Understanding the rigorous checks required to prepare a design for fabrication.

Hiring Timelines

This internship opportunity is available throughout our 2 terms with the following corresponding recruitment cycles:

• Summer/Fall Term: Aug-Jan work term, Apr–May recruit.
• Winter/Spring Term: Jan–June work term, Nov–Dec recruit.

Please note these timelines are for reference only. Actual timelines may vary.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

• Final-year BSc or MSc student in Computer Science, Software Engineering, Electrical Engineering, or a related technical field
• Strong programming fundamentals in Python, with familiarity in C++ considered a plus
• Interested in backend systems, API design, and how ML models are deployed in production environments
• Curious about performance optimization techniques such as batching, caching, and model parallelism
• Motivated to learn and contribute in a collaborative engineering environment

• Contribute to backend features and APIs that support AI inference workloads
• Assist in deploying, testing, and benchmarking models running on Tenstorrent hardware
• Analyze inference performance and help identify optimization opportunities
• Write clean, maintainable code with guidance from senior engineers
• Collaborate with the team to improve reliability, usability, and performance of the inference server stack

• How end-to-end ML inference is optimized on custom AI hardware
• How scalable backend systems are designed to serve real-world AI applications
• How APIs and infrastructure shape the developer experience for AI workloads
• Practical performance analysis techniques in production-like environments
• How modern AI software stacks integrate models, runtimes, and hardware

Hiring Timelines

This internship opportunity is available throughout our 3 terms with the following corresponding recruitment cycles:

• Winter Term: Mar–May work term, Nov–Jan recruit.
• Summer Term: Aug–Oct work term, Jan–May recruit.
• Fall Term: Oct–Dec work term, Apr–May recruit.

Please note these timelines are for reference only. Actual timelines may vary.

At Tenstorrent, we believe the future of computing must be open, which is why our interns don’t just watch from the sidelines - they help build the core of it. We provide a "code-to-career" pipeline where students collaborate with industry experts to solve high-stakes problems in RISC-V and AI hardware-software co-design. By joining us, you are taking an internship to democratize high-performance computers that are accessible to everyone.

As an Intern on our AI Performance & Debugging Tools and Low Level Kernels teams, you will help build the software that reveals how our AI processors behave and how modern neural networks execute on our systems. You will work on runtimes, kernels, and tooling that ship with Tenstorrent hardware so customers can deploy real AI workloads with confidence. We are looking for a minimum of 3 months for this role with the potential for extension to 6 months.

This role is onsite, based in our Belgrade, Serbia office.

Who You Are

• Currently pursuing a Bachelor’s or Master’s degree in Computer Engineering, Computer Science, or a related field.
• Proficiency in C++ or experience with system-level programming.
• Familiarity with Linux-based environments, including shell scripting and debugging tools.
• Basic understanding of computer hardware architecture and system-level programming.
• Interest in performance profiling, debugging, and AI-related workloads.

What We Need

• Build and optimize neural network execution and data movement in C, C++, and Python on our AI/ML chips, focusing on speed, efficiency, and low power.
• Develop and extend our SDK and tools in C++ and Python to provide clear APIs and simple views into performance, hardware use, placement, routing, and power.
• Build and improve developer tools for debugging, performance monitoring, and understanding system behavior, using feedback from engineers and developers.
• Work with hardware and compiler teams to tune system performance while learning low-level programming, and support testing, documentation, and other parts of the software lifecycle.

What You Will Learn

• How state-of-the-art neural networks are mapped, scheduled, and optimized on custom AI accelerators.
• How to design and tune low-level kernels and runtime firmware that directly drive AI-specialized engines and RISC-V cores.
• How to build and extend performance, profiling, and debugging tools used by AI and compiler engineers.
• How to work in Linux-based, system-level environments using C++, Python, shell scripting, and hardware debug tools.
• How to incorporate user and developer feedback into next iterations of performance and debugging tooling.

Hiring Timelines

This internship opportunity is available throughout our 3 terms with the following corresponding recruitment cycles:

• Winter Term: Mar–May work term, Nov–Jan recruit.
• Summer Term: Aug–Sep work term, Jan–May recruit.
• Fall Term: Oct–Dec work term, Apr–May recruit.

Please note these timelines are for reference only. Actual timelines may vary.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

At Tenstorrent, we believe the future of computing must be open, which is why our interns don’t just watch from the sidelines - they help build the core of it. We provide a "code-to-career" pipeline where students collaborate with industry experts to solve high-stakes problems in RISC-V and AI hardware-software co-design. By joining us, you are taking an internship to democratize high-performance computers that are accessible to everyone.

As an intern at Tenstorrent, you will experience working on a carefully defined and real engineering project, guided by a dedicated mentor and a manager, and as a part of a team. This role focuses on model training pipelines on the Tenstorrent compiler stack and how neural networks are brought up and optimized on our hardware. We are looking for a minimum of 3 months for this role with the potential for extension to 6 months. 

This role is on-site based in Belgrade, Serbia.

Who You Are

• Possessing or currently pursuing a Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
• Strong understanding of neural network fundamentals.
• Proficiency in Python; experience with C++ is a plus.
• Ability to learn and work effectively within a team environment.

What We Need

• Participate in the implementation and validation of model training pipelines on Tenstorrent compiler stack, specifically using PyTorch and JAX.
• Support benchmarking, analysis, and performance optimization of various model architectures.
• Contribute to efforts in scaling out distributed model training under guidance and participate in discussions related to the co-design of Tenstorrent's hardware and software stack.
• Assist in the integration of Tenstorrent software with widely used tools in the machine learning community.

What You Will Learn

• The process of getting neural network models to train correctly and efficiently on our hardware.
• Techniques for benchmarking, analysis, and performance optimization of various model architectures.
• How to scale out distributed model training and participate in hardware–software co-design discussions.
• How Tenstorrent software integrates with widely used tools in the machine learning community and how a cross‑functional engineering team collaborates on real projects.

Hiring Timelines

This internship opportunity is available throughout our 3 terms with the following corresponding recruitment cycles:

• Winter Term: Mar–May work term, Nov–Jan recruit.
• Summer Term: Aug–Oct work term, Jan–May recruit.
• Fall Term: Oct–Dec work term, Apr–May recruit.

Please note these timelines are for reference only. Actual timelines may vary.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

At Tenstorrent, we believe the future of computing must be open, which is why our interns don’t just watch from the sidelines - they help build the core of it. We provide a "code-to-career" pipeline where students collaborate with industry experts to solve high-stakes problems in RISC-V and AI hardware-software co-design. By joining us, you are taking an internship to democratize high-performance computers that are accessible to everyone. 

In this role, you will implement state of art ML models on Tenstorrent hardware using Python and C++, focusing on pushing both accuracy and inference speed. You will work hands-on with Tenstorrent’s open-source software stack (tt-metalium, tt-nn, tt-llk), taking models from framework to silicon and iterating on performance. You will own a well-defined engineering project under the guidance of a dedicated mentor, with direct impact on how real workloads run on our chips. We are looking for a minimum of 3 months for this role with the potential for extension to 6 months. 

This role is onsite, based in our Belgrade office.

Who You Are

• Enrolled in the final year of BSc or MSc studies in Computer Science, Computer Engineering, Software Engineering, Electronics, Math, or a related field.
• Solid coding skills in Python and C++, with a basic understanding of machine learning concepts and frameworks.
• You have a passion for programming, are eager to learn, and enjoy solving complex performance and optimization problems.
• You are collaborative, open to feedback, and excited to work closely with experienced engineers and a dedicated mentor.

What We Need

• Implement functional ML models on Tenstorrent hardware using Python and popular ML frameworks like PyTorch.
• Benchmark, analyze, and optimize the performance of the implemented model's inference using existing tools and coding in C++ and Python.
• Collaborate with experienced engineers to validate the accuracy of implemented models and iterate on improvements.
• Contribute to performance optimization efforts where success is measured by achieving both high accuracy and fast execution (inference) of ML models on Tenstorrent hardware.

What You Will Learn

• How to implement state-of-the-art ML models on Tenstorrent hardware using Python, C++, and popular ML frameworks like PyTorch.
• Techniques for benchmarking, analyzing, and optimizing the performance of ML model inference using existing tools and code in C++ and Python.
• How to use (and potentially debug and fix) Tenstorrent’s open-source software libraries, such as tt-metalium, tt-nn, and tt-llk.
• How to collaborate with experienced engineers, apply various problem-solving techniques, and drive a well-defined engineering project under the guidance of a dedicated mentor.

Hiring Timelines

This internship opportunity is available throughout our 3 terms with the following corresponding recruitment cycles:

• Winter Term: Mar–May work term, Nov–Jan recruit.
• Summer Term: Aug–Oct work term, Jan–May recruit.
• Fall Term: Oct–Dec work term, Apr–May recruit.

Please note these timelines are for reference only. Actual timelines may vary.

At Tenstorrent, we believe the future of computing must be open, which is why our interns don’t just watch from the sidelines - they help build the core of it. We provide a "code-to-career" pipeline where students collaborate with industry experts to solve high-stakes problems in RISC-V and AI hardware-software co-design. By joining us, you are taking an internship to democratize high-performance computers that are accessible to everyone.

During your internship, you will partner with highly skilled engineers, experience many approaches to problem‑solving, and work on a carefully defined engineering project in relation to convolutions and their optimizations for Tenstorrent hardware, guided by a dedicated mentor. We are looking for a minimum of 3 months for this role with the potential for extension to 6 months.

This role is onsite, based in our Belgrade office.

Who You Are

• Enrolled in the final year of BSc or MSc studies in Computer Science, Computer Engineering, Software Engineering, Electronics, Math, or a related field.
• Comfortable with one or more programming languages, including C++ and Python.
• You bring a solid foundation in algorithms and data structures and basic familiarity with machine learning frameworks and concepts.
• You are curious about kernel development, low‑level and tensor optimizations, and performance profiling, and want to deepen your skills in these areas.

What We Need

• Contribute to the design, development, and maintenance of Tenstorrent software components connected to our hardware platform, and implement and optimize kernels for convolution‑based operations.
• Analyze and optimize low‑level code to improve performance and efficiency with a strong emphasis on tensor optimization, and run performance profiling to identify and address bottlenecks.
• Collaborate with machine learning engineers and data scientists to integrate optimized kernels and low‑level routines into machine learning frameworks and pipelines.
• Write unit tests, debug kernel‑level code for stability and reliability, and present your project approach, accomplishments, and findings to the team at the end of your internship.

What You Will Learn

• How to take a well‑scoped engineering project related to convolutions and their optimizations on Tenstorrent hardware from idea to implementation with guidance from a dedicated mentor.
• Hands‑on experience building, optimizing, and profiling kernels for convolution‑based operations and tuning low‑level code for performance.
• Practical skills integrating optimized kernels and low‑level routines into machine learning frameworks and pipelines, and hardening them through testing and debugging.
• How to communicate technical work clearly by sharing your observations, approach, and results with the broader team.

Hiring Timelines

This internship opportunity is available throughout our 3 terms with the following corresponding recruitment cycles:

• Winter Term: Mar–May work term, Nov–Jan recruit.
• Summer Term: Aug–Oct work term, Jan–May recruit.
• Fall Term: Oct–Dec work term, Apr–May recruit.

Please note these timelines are for reference only. Actual timelines may vary.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

At Tenstorrent, we believe the future of computing must be open, which is why our interns don’t just watch from the sidelines - they help build the core of it. We provide a "code-to-career" pipeline where students collaborate with industry experts to solve high-stakes problems in RISC-V and AI hardware-software co-design. By joining us, you are taking an internship to democratize high-performance computers that are accessible to everyone.

As an intern, you will experience how we do engineering for 3-6 months, working on a carefully defined and real engineering project, guided by a dedicated mentor and a manager, and as a part of a team.

This role is on-site, based in our Belgrade office.

• You are a final-year BSc student or higher in Computer Science, Engineering, Math, or a related technical field.
• You have a strong passion for programming and a solid grasp of algorithms and data structures.
• You are proficient in programming languages, particularly Python and C++.
• You are passionate about neural networks and related deep-learning architectures.

• Design and implement Python/C++ APIs in our SDK for AI/ML developers.
• Extend the model-import pipeline to support new operators, tensor shapes, and graph patterns.
• Develop compiler passes (e.g., rewriting, tiling, optimization) using an MLIR-based infrastructure.
• Design logic for scheduling and executing compiled neural networks efficiently on our custom AI hardware.

• Gain practical experience in ML compiler development and MLIR infrastructure.
• Master high-performance programming in C++ and professional API design in Python.
• Understand hardware-software co-design principles for low-latency AI execution.
• Develop tools for performance analysis and visualization (e.g., hardware utilization, power consumption).

Hiring Timelines

This internship opportunity is available throughout our 3 terms with the following corresponding recruitment cycles:

• Winter Term: Mar–May work term, Nov–Jan recruit.
• Summer Term: Aug–Oct work term, Jan–May recruit.
• Fall Term: Oct–Dec work term, Apr–May recruit.

Please note these timelines are for reference only. Actual timelines may vary.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Experienced Technical Recruiter - Serbia

People are at the center of this mission. Building the right team is existential. As an Experienced Technical Recruiter, you will play a critical role in identifying the engineers who define where AI goes next and who gets to benefit from it. This is a high-visibility role serving as the recruiting lead and sole talent owner for a critical Tenstorrent site.

This is not about filling seats. It is about building the infrastructure of intelligence with intention, clarity, and reach.

Who You Are

• Technical Expert: 7+ years of experience hiring for deeply technical roles across AI, ML, systems, hardware, or infrastructure. You know how to skill up fast on complex new specs.
• Owner & Pilot: You think independently and take deep ownership. You don't wait for direction; you seek signal, act on insight, and aren't afraid to pilot new strategies to find talent.
• Strategist: You understand how to map a region and nurture passive talent. Sourcing is your primary lever, not an afterthought.
• Trusted Advisor: A thoughtful communicator with the presence to influence stakeholders and maintain a high hiring bar while driving decisions.
• Principled: Grounded in the belief that who we hire shapes what we build. You have excellent judgment and can be trusted to negotiate fairly and handle compensation issues with nuance.

What We Need

• Site Ownership: Full-cycle ownership of critical searches across our Belgrade engineering and operations teams.
• Proactive Sourcing: Identifying talent beyond obvious pools and engaging passive candidates with authenticity.
• Influence & Partnership: Close collaboration with hiring managers to define roles, prioritize needs, and hold the line on quality.
• Operational Excellence: High-quality screening and candidate experience from first outreach to final offer.
• Data Integrity: Proactive communication with management and a commitment to data accuracy. "Not great with data" is not an option here; you will maintain the required reporting and use data to drive your engine.
• Independent Execution: The ability to align quickly with our vision and mission, making sound decisions on the fly.

What You Will Learn

• How to hire for one of the most ambitious technical missions in AI today.
• What world-class talent looks like across disciplines and how to recognize it early.
• How hiring choices shape organizational capabilities, long-term leverage, and company trajectory.
• How to balance urgency with care, and growth with focus, in a rapidly evolving space.
• How to build a talent engine that ensures AI is more open, inclusive, and broadly beneficial.

Tenstorrent is building next-generation AI compute. The Kernel Development and Optimization team develops the performance-critical kernels that unlock the full capability of our hardware across ML and HPC workloads.

This role is hybrid based out of Belgrade, Serbia.

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

• A strong C++ systems engineer with experience writing performance-critical or low-level software.
• Comfortable reasoning about concurrency, synchronization, latency hiding, and compute versus memory trade-offs.
• Data-driven in your approach, using profiling and benchmarking results to guide optimization decisions.
• Effective at debugging complex runtime or kernel-level issues in large codebases.
• Structured thinker who can break down ambiguous performance problems into measurable experiments.

What We Need

• Engineers who can design, implement, and optimize GPU-style kernels such as matrix multiplication, attention primitives, and data-movement operations.
• Clear ownership of performance, from identifying bottlenecks to delivering measurable throughput improvements.
• Contribution to host-side orchestration code and parallelization strategies.
• Development of micro-benchmarks, regression tests, and tooling to ensure correctness and sustained performance gains.
• Close collaboration with compiler, runtime, ML, and hardware teams to integrate kernels into production systems.

What You Will Learn

• The execution model, memory architecture, and performance characteristics of Tenstorrent AI hardware.
• How to write and optimize accelerator kernels outside traditional CUDA-first ecosystems.
• Practical AI-assisted and agentic workflows for kernel generation, debugging, and optimization.
• How to translate performance intuition into rigorous, reproducible engineering results.
• How low-level kernels, compilers, runtime systems, and hardware co-evolve in modern AI platforms.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Join our Inference Server Technologies team, where we develop software that powers state-of-the-art AI inferencing on Tenstorrent’s cutting-edge hardware. Our team builds the layer that works on top of the Tenstorrent ML libraries - designing APIs, deploying workloads, and benchmarking end-to-end inference speed. You’ll help us shape how developers consume and scale model execution on Tenstorrent’s stack.

This role is hybrid based in Belgrade, Serbia.

We welcome candidates at various experience levels. 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

• An engineer who enjoys designing modern APIs and improving how ML models are deployed in production.
• Curious about performance gains through techniques like batching, caching, and model parallelism.
• Passionate about clean software architecture and effective abstraction layers.
• Motivated to deliver backend systems that developers trust and rely on.

What We Need

• Backend engineers who enjoy solving performance bottlenecks and scaling infrastructure.
• Experience with web technologies, protocols, and system design.
• Familiarity with Python, Docker, and Linux-based environments.
• Strong coding practices and a clear ability to break down complex problems into high-quality, maintainable code.

What You Will Learn

• How to optimize end-to-end ML inference on custom silicon.
• Strategies for building scalable, reliable software interfaces for real-world AI applications.
• How to shape the experience developers have when using Tenstorrent’s hardware for AI workloads.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Join the team revolutionizing AI computing at Tenstorrent. You'll work on TT-Forge, our MLIR-based compiler that enables developers to run AI on all configurations of Tenstorrent hardware using an open-source, performant, and general-purpose compiler. You will be at the forefront of the AI hardware revolution, building compiler technologies that redefine what’s possible.

This role is hybrid based in Belgrade, Serbia.

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:

• A passionate software engineer eager to work on compiler technologies and the challenges of AI hardware, whether from compilers, systems, or broader software backgrounds.
• Fluent in C++ and Python, with experience building complex systems that bridge high-level frameworks to low-level execution.
• Excited by compiler optimization and machine learning, with experience in PyTorch, JAX, TensorFlow, or deep systems programming.
• A collaborative problem-solver who thrives in open-source and enjoys working closely with hardware and software engineers.
  
  
  

What We Need:

• A drive to solve novel challenges in AI compilation, from optimizing computational graphs to creating custom dialects and transformation passes.
• Experience or strong interest in MLIR and how modular compiler frameworks connect AI models to advanced hardware.
• Motivation to build technology that impacts the future of AI, knowing your work will enable the next wave of breakthroughs.
  
  
  

What You Will Learn:

• How to build open-source compiler frameworks supporting diverse AI models and workloads, including training and multi-chip scaling.
• Deep expertise in compiler technologies including custom MLIR dialects (TTIR, TTNN, TTKernel) and transformation passes.
• New methods for human-in-the-loop compiler optimization using TT-Explorer, making advanced tuning tools usable by all developers.
• How compiler technology powers Tenstorrent’s mission to deliver affordable, open-source AI computing in a highly competitive space.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Job Overview

We are seeking a marketing analytics professional with a focus on data quality and AI-driven automation to improve marketing measurement, reporting, and decision-making. This role combines marketing analysis, data operations, and applied AI to ensure trusted, consistent data across multiple sources and to automate dashboards, attribution insights, and scalable analytical workflows.

Reports to

• Team Lead of Data & Marketing Technology

What will you do?

• Analyze marketing channels performance and deliver actionable recommendations
• Build and automate KPI reporting
• Support and automate experiment measurement (A/B, incrementality, creative testing)
• Design AI-powered automations for reporting, insight generation, anomaly detection, and campaign recommendations
• Own marketing/attribution data quality across sources (AppsFlyer + ad platforms), including validation and tracking troubleshooting
• Develop and maintain predictive models
• Partner with marketing, product, and engineering on tracking requirements, measurement plans, and documentation.
• Help maintain data pipelines/semantic layers; ensure metric definitions and transformation logic are clean and well-documented

What are we looking for?

• STEM education
• Strong foundation in marketing analytics: attribution, funnels, cohort/retention, LTV, ROAS/CAC, experimentation
• Hands-on experience with data analysis and automation (SQL + Python, BI tools, workflow automation)
• Familiarity with mobile attribution/measurement platforms (e.g., AppsFlyer) and multi-source marketing data integration
• Proactive mindset and eagerness to grow practical AI skills (ML fundamentals, LLM tooling, data quality automation)

What additional skills will help you stand out?

• Experience with warehouses (BigQuery/Snowflake), dbt, Airflow, or similar
• Experience with SKAdNetwork and privacy-safe attribution
• Experience operationalizing LLM workflows (prompting, evaluation, guardrails) for analytics use cases
• Experience with predictive modeling techniques (e.g., regression/classification, time-series forecasting, uplift/propensity modeling) and model evaluation

Work mode

• Hybrid (2-3 days of work from the office) 
• This role is eligible for relocation & immigration support.

Benefits

Benefits and perks are tailored to the local market and culture. Our benefits in Belgrade include:

• Additional vacation days based on years of service at Wargaming: up to 5 days on top of the statutory minimum
• Additional paid time off (5 Personal Days, Birthday Leave, Marriage Leave, Compassionate Leave)
• Sick Leave Compensation, Maternity Leave Benefits  
• Premium Private Health Insurance
• Career development and education opportunities within the company
• English clubs and platform for learning languages
• Mental well-being program (iFeel)
• Commuting allowance
• Company events
• FitPass membership
• Discounts for employees
• Personal Gaming Account
• Coffee, fruits, and snacks in the office
• On-site canteen with subsidized prices for food and drinks
• Seniority Awards
• Referral program - you can recommend the best talents to the Company and receive a reward

Please submit your CV in English to ensure smooth processing and review.

At JetBrains, code is our passion. Ever since we started back in 2000, we have been striving to build some of the world’s most powerful and effective developer tools. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

The C++ Ecosystem team builds C++ support across CLion and IntelliJ IDEA. As AI drives a new era in software development, we’re working hard to ensure that our products integrate AI capabilities effectively and stay at the forefront of the AI-powered software development tooling industry.

We are seeking an experienced C++ Development Lead to drive the team’s efforts in delivering AI-enhanced products and building new AI-powered solutions.

In this role, you will:

• Join an engineering team with diverse levels of experience and expertise – with a focus on integrating AI into our existing products and working on new AI-powered offerings.
• Collaborate effectively with product managers, ML and QA engineers, stakeholders, and senior developers to shape and deliver the roadmap.
• Contribute to the product roadmap and participate in the feature design process.
• Constantly refine team processes and culture to ensure smooth delivery and agility.
• Act as a coach rather than a manager who’s detached from hands-on work – spending some time personally designing and working on technical tasks and software architecture.
• Rapidly assimilate extensive technical information and dive deep into mature codebases.
• Coach your team members on their technical and soft skills and provide them with feedback to help them improve every day.

We would be delighted to have you on our team if you have:

• Substantial previous experience with Kotlin and/or Java
• Bleeding-edge knowledge and interest in the current landscape of AI technologies used in software development tooling. You read the latest news, constantly try new tools, and know how agents work under the hood.
• A proven record of joining mature teams and making a major impact as an individual contributor.
• A proven track record of proposing and implementing radical solutions that move the needle on complex technical issues without sacrificing existing quality.
• The ability to communicate effectively with a diverse set of colleagues, including both managers and peers.
• A clear understanding of product management and its role in the development life cycle as a whole.

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. (keep if relevant for the role)
• 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

Complexity in consumer systems is growing exponentially, creating new challenges in sensing, data processing, and system intelligence. Leveraging advanced sensor and signal processing technologies, we are addressing these challenges with innovative approaches. We are looking for an energetic Senior Firmware Engineer who can bridge these technologies with novel software solutions, algorithms, and machine learning primitives.

Required skills:

• Ability to work on communication stacks, in-depth domain knowledge on Bluetooth Classic, Bluetooth LE, Bluetooth Audio, Multipoint, Auracast, Controller stack protocols, BLE profiles/Services.
• Ability to work on system level architecture; ability to create and maintain system level solutions comprised of state-of-the-art hardware and software components and provide documentation for our products.                                   
• Development experience with functions and protocols such as TWS Role switch, fast pairing, voice assistants, Conformance and Teams certifications.
• Ability to understand complex customer application ecosystems and integrate our product offerings.
• Prior experience in developing and debugging all aspects of system software. This includes understanding overall system performance from both a hardware and software perspective.

Qualifications:

• BS or MS in Electrical or Computer Engineering or related field
• 5+ years of Industrial experience in firmware development
• Strong C/C++ and Python programming skills
• Strong knowledge of digital signal processing (DSP) and algorithm development experience
• Experience with communication stacks including Bluetooth classic, BLE USB, SDIO WiFi, Bluetooth & WiFi interoperability.
• Strong knowledge of Tensilica HiFi, Kalimba DSP cores and Bluetooth Audio Frameworks
• Hands on experience with integrating, building, and testing of multi-threaded applications.
• Experience with embedded real-time operating systems
• Experience with SCM tools (GIT, SVN, Clearcase, Perforce, etc.)
• Strong analytical and problem-solving abilities
• Experience with defect tracking tools (Jira, Bugzilla, etc.)
• Strong working knowledge of a software development process (e.g., Agile, Waterfall)
• Application of Object-Oriented concepts and methodologies
• Strong system level knowledge in audio, video and TWS domains

What we offer: 

• Dynamic and supporting international teams.
• Regular assessments and performance reviews. You will have the opportunity for promotion, bonuses and a raise in accordance with the pace at which you develop and your performance. 
• Remote, hybrid or office work.
• 20-25 vacation days per year.
• Equipment for work, laptop and all necessary additions.
• Access to training and courses.
• Private health insurance.
• FIT Pass card for many sports facilities. 

At JetBrains, code is our passion. Ever since we started back in 2000, we have strived 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.

AI Assistant is an advanced software tool that leverages artificial intelligence to aid developers in various tasks. Our team develops the AI Assistant plugin for JetBrains IDEs. This tool integrates AI into the coding environment, enhancing features like code completion, debugging, and VCS operations. We’re striving to make JetBrains AI Assistant the most useful and intuitive AI-powered tool on the market, focusing on core features such as code completion, code generation, refactoring, and general assistance via chat.

As part of our team, you will:

• Perform functional, exploratory, and regression testing.
• Design test cases and write specifications.
• Reproduce bugs and verify fixes.
• Communicate with the team, as well as internal and external users.
• Participate in feature discussions and planning.
• Have the opportunity to get hands-on experience working with data, performing online experiments, and measuring the impact of features on end users.

Requirements:

• Experience in testing without functional specifications.
• Knowledge of testing methodologies.
• Understanding of programming concepts sufficient for writing simple applications.
• Experience with Java or Kotlin.
• Commitment to working as a team, sharing your knowledge, and being open to other points of view.

You’ll be great for our team if you:

• Have an interest in machine learning.
• Have experience working with data and know how to make data-informed decisions.

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.

#LI-DNI 

HYPR, the Identity Assurance Company, helps organizations create trust in the identity lifecycle.  We are a community of bold thinkers and energetic doers who imagined a brand new approach to identity security and, at the same time, are eliminating a pervasive and persistent 60-year old problem – the password. Since being founded in 2014, the company has grown to be the premium provider of authentication security to marquee brands around the globe and are quickly becoming the recognized leader in Identity Assurance. We are looking for exceptional people with the ambition and the will to positively change the world. If that sounds like you, join us on our mission to create a passwordless world and secure the identity lifecycle.

Your Role and Impact 

HYPR is looking for a Senior Software Engineer who thrives on challenges and is eager to contribute wherever the team needs them. In this role, you will design, develop, and maintain key product components while collaborating with peers and contributing as an individual contributor.

You'll work on HYPR's industry-leading security products, deployed at several Fortune 500 companies. These include:

• Identity verification solution
• Open Standards implementations of passwordless authentication to help customers build secure environments
• W3C-compliant authentication servers
• Next-generation application management and analytics

If you're passionate about security, scalable architectures and impactful engineering, HYPR will be a great fit for you

What you will do in this role

• Design, develop and deploy SaaS services and web front ends, with a focus on scalability and performance
• Own features end-to-end—from understanding requirements and designing solutions to deployment and production support
• Implement comprehensive automated testing at the component level and collaborate with SDET(s).
• Participate in on-call rotation, handling initial triage and escalating if not an SME
• Research new technologies and solutions to improve existing products and explore new directions

Who you are

• Self starter - able to dive into existing products and learn quickly in a fast, hands-on environment
• Team player - collaboration with team members, operations and support teams is critical
• Detail-oriented — takes pride in writing high-quality, maintainable code and following best practices.
• Security-minded — interested in the Cybersecurity domain; previous exposure or participation is a plus.
• Autonomous and accountable—takes ownership of work and drives it to completion. Actively assist in the production support aspects of you work as needed

Required Qualifications

Expert-Level

• Java SE 17+ and Spring
• Kubernetes or another container orchestration platform
• Cloud-first development experience (AWS, Azure or similar)
• Storage: relational and NoSQL (MySQL, Oracle, Dynamo, Redis or similar)

Strong

• Understanding of data structures, clean code, modularity, and design patterns
• Experience designing and scaling distributed services with high reliability, low latency, and clear SLA boundaries
• Comfortable working in complex authentication or identity flows involving multiple services
• Full-stack experience with React or a similar modern frontend framework
• Knowledge of various testing methodologies, including unit and integration testing

Preferred

• Interest in identity verification and authentication standards like OAuth, WebAuthn, PKI and similar
• Experience with computer vision, liveness detection or ML-assisted verification workflows
• Infra As Code (IAC) tool (Terraform, Helm, AWS Cloud formation)

Experience: 

10+ years of development designing, building and maintaining enterprise web based platform that serve over 100K users.  Can be SaaS or On premise.

Education:

BS/MS in computer science or software engineering field. 

What HYPR Offers: 

• All frontend and backend engineers are Senior, you’re joining a team of All Stars who consistently deliver the highest quality code and products in tight timelines
• An organization with a great work life balance. Many of our employees have families and responsibilities outside of the office that they are able to easily meet.
• Extreme product focus, at HYPR you’ll never be spinning your wheels on tasks that do not matter. Everything we develop is cutting edge and important.
• High levels of ownership. We understand that we are able to do our best work when we can bring insights together.
• An emphasis on collaboration and access to giants in the industry. We achieve our best because we employ the best.
• Our engineers use the latest frameworks and language iterations. Our marketing, sales, ops and more utilize the best and latest tools for innovation and scale.

Additional Information

• Full Time Opportunity: Yes
• The core meeting hours for this position are from 2:00 PM to 6:00 PM. Attendance is required for meetings scheduled between 2:00 PM and 6:00 PM. These meetings may be attended remotely via Zoom. Outside of these scheduled meetings, working hours are flexible. 
• This position is a hybrid role. Employees are required to work in the office a minimum of two days per week—specifically Tuesdays and Wednesdays. The remaining workdays offer flexible remote options.

As the premium provider of authentication security, HYPR is committed to preventing identity fraud by safely and accurately verifying the identities of our employees. Accordingly, all new employees are required to participate in an automated identity verification process, which includes document verification, location detection, and facial recognition, on their first day of employment with the Company.  To learn more about this identity verification process,  please contact peopleops@hypr.com.

Responsibilities

We are looking for an exceptional Senior Backend Developer (GOlang) to join our growing Engine team. The Engine team develops and maintains most things related to Workato Recipe runtime. Everything related to recipe execution: DSL, pulling events, processing webhooks, executing jobs. There are various aspects to it: performance, scaling, storage, durability, atomicity, concurrency guarantees, data protection, and encryption.

• Build/extend/troubleshot/fix complex heterogeneous GOlang applications, as well as small self-contained GOlang microservices.

• Improve execution engine of custom third-party code (isolation, performance, new features).

• Write well designed, testable, efficient code in GOlang.

• Integration of data storage solutions Postgres/S3/DynamoDB/Kafka/ClickHouse etc.

• Contribute in all phases of the development lifecycle.

• Provide code reviews to your teammates.

• Evaluate and propose improvements to existing system.

• Identify bottlenecks and bugs, and devise solutions to these problems.

• Help maintain code quality, organization and automatization. 

Requirements

Qualifications / Experience / Technical Skills

• Strong experience in building scalable distributed backend applications (7+ years).

• Great understanding of all building blocks of large web applications: databases, load balancers, application servers, message brokers, caching, monitoring, etc.

• Good understanding of network protocols and stacks.

• Good understanding of DB technologies: classic databases and modern no-SQL.

• Knowledge of basic data structures and algorithms and how they are used is a must.

• Excellent debugging, analytical, problem solving, and social skills.

• BS/MS degree in Computer Science, Engineering or a related subject, 7+ years of industry experience.

Can be a plus

• Experience in related fields (DevOps, ML, DBA, Enterprise applications, etc).

• Experience in building/deploying data processing pipelines.

Soft Skills / Personal Characteristics

• Readiness to work remotely with teams distributed across the world and timezones.

Job Req ID: 2314

Responsibilities

We are looking for an exceptional Senior Backend Developer (Ruby) to join our growing Engine team. The Engine team develops and maintains most things related to Workato Recipe runtime. Everything related to recipe execution: DSL, pulling events, processing webhooks, executing jobs. There are various aspects to it: performance, scaling, storage, durability, atomicity, concurrency guarantees, data protection, and encryption. 

 In this role, you will also be responsible to:

• Build/extend/troubleshot/fix complex heterogeneous GOlang and Ruby applications, as well as small self-contained GOlang microservices.

• Improve execution engine of custom third-party code (Ruby DSL, isolation, performance, new features).

• Write well designed, testable, efficient code in Ruby and GOlang.

• Integration of data storage solutions Postgres/S3/DynamoDB/Kafka/ClickHouse etc.

• Contribute in all phases of the development lifecycle.

• Provide code reviews to your teammates.

• Provide technical leadership. Work with other teams on shared projects.

• Evaluate and propose improvements to existing systems.

• Identify bottlenecks and bugs, and devise solutions to these problems.

• Help maintain code quality, organization and automatization.

• We always explore new technologies and work with Rust and Wasm can be foreseen.

Requirements

Qualifications / Experience / Technical Skills

• Strong experience in building scalable distributed backend applications (7+ years).

• Excellent understanding of distributed systems patterns and algorithms.

• Great understanding of all building blocks of large web applications: databases, load balancers, application servers, message brokers, caching, monitoring, etc.

• Excellent understanding of network protocols and stacks.

• Excellent understanding of DB technologies: classic databases and modern no-SQL.

• Knowledge of all common basic data structures and algorithms and how they are used is a must.

• Multilingual programming experience: our code base is primarily in Ruby, with a trend to migrate to GOlang and Rust. At least two languages are required.

• At least basic understanding of cloud deployments (k8s, Terraform, ArgoCD)

• Experience of working with public cloud infrastructure providers(AWS/Azure/Google Cloud).

• Excellent debugging, analytical, problem solving, and social skills.

• BS/MS degree in Computer Science, Engineering or a related subject, 7+ years of industry experience.

Optional

• Background in GOlang, Rust, WASM.

• Background in network programming.

• Background in Kotlin/Multiplatform. 

• Background in application, data security.

• Deep knowledge of physical DB design.

• Experience of working with Docker and other isolation technologies.

• Experience in related fields (DevOps, ML, DBA, Enterprise applications, etc).

• Experience in building/deploying data processing pipelines is a plus.

• Experience of working with third-party REST APIs at scale (request throttling, batch processing etc).

Soft Skills / Personal Characteristics

• Ability to technically lead projects. Work with requirements, cost analysis.

• Readiness to work remotely with teams distributed across the world and timezones.

(REQ ID: 2343)

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

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.

The Python Ecosystem team builds PyCharm – one of the most popular Python IDEs in the world – along with the Python plugin for IntelliJ IDEA. As AI changes how developers write, debug, and ship code, we’re making our Python tools AI-native. We’re looking for an AI Lead to drive this effort by shaping the architecture, building key components hands-on, and guiding the team in making strong decisions around AI-powered product development.

In this role, you will:

• Lead the technical design of AI features in PyCharm and our Python tooling, including MCP integrations, agent workflows, tool design, and context management.
• Prototype and ship features yourself – this is a hands-on technical leadership role.
• Help the team adopt AI technologies effectively by providing technical guidance, reviewing approaches, and sharing practical patterns.
• Evaluate emerging AI tools, frameworks, and providers, and make pragmatic decisions about what to build and what to integrate.
• Work closely with product managers, ML engineers, QA specialists, and senior developers to turn product ideas into solid technical plans.
• Navigate a large Kotlin/Java codebase and expose IntelliJ Platform capabilities – such as code analysis, inspections, refactorings, and type inference – to AI-powered workflows.
• Contribute to cross-team AI efforts and help define shared engineering patterns where appropriate.

We’d love to talk to you if you have:

• Strong software engineering experience, particularly in Python and/or Kotlin/JVM.
• Deep, hands-on familiarity with modern AI tooling for developers, including coding assistants, agents, MCP, and LLM-based workflows.
• Experience working in large, mature codebases and delivering meaningful technical change without compromising quality.
• Familiarity with LLM evaluation and benchmarking.
• A track record of making good technical decisions in fast-moving, ambiguous areas like proposing architectures, building prototypes, and iterating based on feedback.
• Strong communication skills and the ability to influence technical direction without formal authority.
• A strong product sense and care about solving real user problems, not just building interesting technology.

Nice to have:

• Experience with IDE or developer tooling internals, such as language servers, code analysis, or related systems.
• Experience with the Python AI/ML ecosystem.

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. (keep if relevant for the role)
• 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 

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.

Spectrum is a resident of JetBrains' startup incubator, with startup speed and autonomy, and backed by 25 years of developer tooling expertise. We are looking for a top-class ML Engineer who will help us shape the future of software development. You will own our AI and ML engineering stack and help define the research agenda for our team. Your technical vision and design decisions will directly shape the product and determine its success.

Your responsibilities will include:

• Designing and building the ML/LLM solution for data ingestion, knowledge extraction, retrieval, and subsequent reasoning.
• Creating the datasets, metrics, and pipelines that drive measurable improvements across the system.
• Architecting and improving agents for context retrieval, knowledge extraction, and data alignment, which includes prompt engineering, model selection, and inference optimization.
• Establishing MLOps practices, including orchestration, observability, and experiment tracking.
• Collaborating with the engineering team on system design and with JetBrains Research on the research agenda.
• Defining hiring criteria, growing the ML team, and shaping the ML team culture.

We expect you to have:

• A proven track record as an ML/AI Lead.
• At least five years of experience in ML/AI systems, with at least two years focused on LLMs and generative AI.
• A deep understanding of the LLM ecosystem, including model architectures and fine-tuning approaches.
• Hands-on experience with:
• Prompt engineering and LLM pipeline design, including evaluation.
• Agentic frameworks such as LangChain, LlamaIndex, LangSmith, smolagents, or an equivalent.
• Vector databases and retrieval-augmented generation (RAG) patterns.
• Deploying and scaling LLM-powered applications using APIs (e.g. OpenAI or Anthropic) or open-source models.
• Strong Python skills – Kotlin knowledge would be a plus.
• 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 have:

• Experience with ontologies, knowledge graphs, or graph-based reasoning.
• Experience in early-stage startups – you enjoy the zero-to-one phase.
• The ability to think strategically about product-led AI, beyond just training models in isolation.
• A background in code analysis, developer tools, or software engineering research.
• Experience with multi-agent systems or complex agentic workflows.
• Actively contributed to relevant open-source projects or publications.

What we offer

• A competitive salary and JetBrains benefits.
• A generous runway and corporate resources with startup autonomy.

#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 AI/ML Engineer to build and evolve the ML-powered systems at the heart of our product.

Your responsibilities will include:

• Designing and building the ML/LLM solution for data ingestion, knowledge extraction and retrieval, and subsequent reasoning.
• Creating datasets, metrics, and pipelines that drive measurable improvements across the system.
• Architecting and improving AI agents, which will involve prompt engineering, model selection, and inference optimization.
• Contributing to our MLOps practices, including orchestration, observability, and experiment tracking.

We expect you to have:

• At least four years of experience building ML/AI systems in production environments, with hands-on LLM experience.
• A deep understanding of the LLM ecosystem, including model architectures and fine-tuning approaches.
• Hands-on experience with:
• Prompt engineering and LLM pipeline design, including evaluation.
• Agentic frameworks such as LangGraph, Pydantic AI, or an equivalent.
• Retrieval-augmented generation (RAG) patterns and vector databases.
• Deploying and scaling LLM-powered applications using APIs (e.g. OpenAI or Anthropic) or open-source models.
• Strong Python skills – Kotlin knowledge would be a plus.
• 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 ontologies, knowledge graphs, or graph-based reasoning.
• Experience in early-stage startups – you enjoy the zero-to-one phase.
• A background in code analysis, developer tools, or software engineering research.
• Experience with multi-agent systems or complex agentic workflows.
• Actively contributed to relevant open-source projects or publications.

What we offer:

• A competitive salary and JetBrains benefits.
• A generous runway and corporate resources with startup autonomy.
• A motivated team that moves fast, with short feedback loops, rapid prototyping, and lots of ownership.
• Opportunities to publish research at top venues in collaboration with JetBrains Research.

#LI-DNI

Job Overview

Wargaming is looking for a proactive, excited and determined Senior Game Data Analyst to strengthen the World of Tanks product analytics team.

We collect all kinds of information about the player behavior and  the events in the ‘WoT universe’: from economic, financial and detailed combat data to the precise coordinates of each shot and tank movement, interface telemetry and many others. All of them are routed to a singular database and are available for analysis 24/7.

You will be working with the WoT Product Team responsible for decision-making process, with the Data Warehouse team responsible for data storage, reports system and our infrastructure, as well as 60 analytics all over the world united under Wargaming Global Analyst Network.

What will you do?

• Helping deliver important analytical insights to managers and other product teams necessary for decision making

• Use quantitative analysis to understand how the game is played and identify impact and growth opportunities

• Participating in analytical maintenance for features, game events and modes throughout all development and release stages:

  • Pre-Production Analytics: modeling likely outcomes and risks from implementing new features, game modes and events into the game; predict the future events, product KPIs and metrics providing analysis of their full development cycle (from concept to release)

  • Production Analytics: developing and preparing analytical reports, metrics and methodologies for evaluating features, game modes and events in operation; looking for anomalies and insights that help increase effectiveness of the product and its parts

• Operation Analytics: creating and supporting analytical tools and interfaces (dashboards) for rapid updates on the status of the product and its subsystems delivered to the management and the responsible teams

• Gather and formulate requirements, conduct analytical research from producers, PMs, UX/UI and game designers, developers, QA and artists

• Presenting the research results and filling the product analytics knowledge base to share with other teams

What are we looking for?

• 5+ years experience on a similar position

• Understanding the principles of formalizing business tasks in research plans, as well as experience writing analytical reports and presenting their results

• Advanced SQL knowledge

• Experience with at least one data visualization solution (Tableau / Qlik / Microsoft Power BI, etc)

• Experience with Python/R and popular libraries for data processing and analysis

• Great communication skills, both written and spoken, especially for non-technical audience

• Written and spoken English (B2 and higher)

What additional skills will help you stand out?

• Being prepared to learn, take in and systemize vast amounts of data within a short time

• Experience working with Cloudera Impala / Hive, Oracle SQL, Snowflake

• Knowledge and practical application of machine learning algorithms

• Rich gaming experience in different games and over 1000 World of Tanks battles

Work mode

• Hybrid (2-3 days of work from the office) 

• This role is eligible for relocation & immigration support

Benefits

Benefits and perks are tailored to the local market and culture. Our benefits in Nicosia include:

• 21 days annual leave (additional days based on years of service: up to 25 days) 

• Additional paid time off (5 Personal Days, Birthday Leave, Marriage Leave, Compassionate Leave) 

• Sick Leave (10 days top-up to statutory allowance per year)

• Maternity Leave (18 weeks top-up to statutory allowance per case)

• Career development and education opportunities within the company

• English Language courses fully covered by the company upon Manager’s approval

• Premium Private Health Care

• Mental well-being program (iFeel)

• Onsite gym and spa

• Free parking close to the Nicosia offices, based on availability

• Free drinks-equipped kitchen in every floor building

• Eurobank benefits (if applicable)

• Employee discounts (e.g. restaurants, bars, etc.)

• Personal Gaming Account 

• Onsite canteen with subsidized prices for food and drinks

• Company events, Social Clubs

• Seniority Awards  

• Referral program - You can recommend the best talents to the company and receive a reward 

Please submit your CV in English to ensure smooth processing and review.

We are looking for a Customer Success Coordinator to support our K-12 product portfolio for the DACH region. In this role, you will act as the first point of contact for customers while helping ensure smooth communication between customers and internal teams.

This position focuses on customer communication, administrative coordination, and sales support. It is not a technical support role, and does not involve software troubleshooting or technical product implementation.

You will work closely with Sales, Product, Finance and Tech Support, assisting customers with administrative, invoicing, and product-related inquiries.

100% office work: Makedonska 12, 1100 Belgrade, Serbia

Duties and Responsibilities:

Customer & Administrative Support

• Provide first-line phone support for customers, covering:
• Invoice-related questions and payment follow-ups
• Administrative requests and account information
• Basic product and sales inquiries
• Initial pedagogical questions related to product usage
• Act as the first contact for inbound emails, routing inquiries to the appropriate teams (Sales, Finance, Product, Tech Support)
• Support customers with general account-related requests and ensure timely responses

Invoice & Finance Coordination

• Work closely with the Finance team to address invoicing and billing questions from German-speaking customers
• Act as a communication bridge between customers and finance, particularly for invoice clarification and payment follow-ups
• Assist in tracking invoice status and ensuring timely resolution of billing issues.

Sales Support

• Qualify inbound leads and identify potential sales opportunities
• Support the sales team by coordinating meetings, demos, and follow-ups with prospects
• Maintain accurate records of customer interactions in the CRM system
• Assist in gathering customer feedback on products and services

Outreach & Opportunity Identification

• Support outreach activities where appropriate to help generate new opportunities through referrals or direct contact
• Identify upsell or cross-sell opportunities during customer interactions and share them with the Sales team.

Qualifications and Experience:

• Fluent in German and English (written and spoken)
• Strong communication and customer interaction skills
• Highly organised with strong administrative capabilities
• Comfortable handling multiple requests and working in a fast-paced environment
• Proactive mindset and willingness to take initiative
• Ability to work independently in an evolving environment

Nice to Have:

• Experience in Customer Success, Inside Sales, or Sales Support
• Experience with CRM systems (e.g., HubSpot) and billing platforms such as Chargebee
• Interest in or exposure to education technology or K-12 learning environments
• Basic understanding of SaaS business models

About the role:

ABBYY Vantage is our flagship Document AI platform – a cloud-native, microservices-based product that combines purpose-built AI, OCR, NLP, and direct LLM integration to help enterprise customers extract, classify, and act on data from any document. Vantage 3.0, our latest release, introduces native Azure OpenAI integration, enterprise-grade compliance and redaction, a real-time analytics dashboard, and a growing library of pre-configured AI skills. Over 10,000 customers trust ABBYY – including Fortune 500 companies like DHL, Johnson & Johnson, FDA, PwC, KeyBank, Spotify, and H&R Block – to automate their most complex document workflows.

We are looking for a Staff Software Engineer to serve as a senior technical leader on the Vantage platform. You will drive the design and delivery of complex, cross-cutting capabilities – spanning document AI pipelines, LLM integrations, compliance infrastructure, analytics, and platform extensibility. Beyond your own code, you will act as a technical multiplier: influencing architectural decisions, setting quality standards, and developing the engineers around you. This is a role for someone who leads through depth, judgment, and impact.

Job Responsibilities:

• Technical Leadership: Drive the technical design and delivery of significant Vantage platform capabilities, from architecture and API contracts through deployment, monitoring, and iteration.
• Quality & Standards: Define and uphold engineering standards for the Vantage codebase – covering code quality, service reliability, performance, security, and compliance – and drive their adoption across teams.
• Strategic Collaboration: Act as a senior technical voice in cross-functional planning with product management, ML engineering, cloud architecture, and engineering leadership; translate business priorities into actionable technical roadmaps.
• Platform Improvement: Lead initiatives to improve Vantage platform health at scale: service decomposition, observability, CI/CD maturity, and developer productivity.
• Operational Excellence: Own high-severity incident response for Vantage cloud services; drive post-mortems and systemic reliability improvements.
• Engineering Mentorship: Mentor Senior and Principal Engineers on the Vantage team; build a culture of technical rigor, shared ownership, and continuous learning.
• Technical Innovation: Evaluate and champion adoption of new technologies – from GenAI model integrations to cloud-native tooling – that strengthen ABBYY's Document AI differentiation.

Job Requirements:

• 10–13 years of professional software engineering experience with deep expertise in C# .NET and C++, willing to work with both languages
• Proven experience designing, implementing, and operating CI/CD pipelines for building, testing, and deploying workflows using GitHub Actions and/or Azure DevOps Pipelines
• Strong command of microservices architecture, distributed system design, and cloud-native patterns at enterprise scale
• Demonstrated ability to mentor Senior and Mid-level Engineers and partner with Engineering Managers on technical direction
• Experience leading technical design reviews and influencing architectural decisions across team and product boundaries

Desired Qualifications

• Experience in cloud, preferably using Microsoft Azure (AKS, Storage, Key Vaults, Azure SQL or equivalent)
• Track record of delivering production-grade systems that meet enterprise compliance, security, and reliability standards
• Hands-on experience designing and operating workflow-driven systems (orchestration, retries, timeouts, and state management)
• Experience integrating Machine Learning, Neural Networks or LLMs into enterprise applications and workflows
• Comfort operating across a globally distributed engineering organization spanning multiple regions and cultures

About the role:

ABBYY Vantage is our flagship Document AI platform – a cloud-native, microservices-based product that combines purpose-built AI, OCR, NLP, and direct LLM integration to help enterprise customers extract, classify, and act on data from any document. Vantage 3.0, our latest release, introduces native Azure OpenAI integration, enterprise-grade compliance and redaction, a real-time analytics dashboard, and a growing library of pre-configured AI skills. Over 10,000 customers trust ABBYY – including Fortune 500 companies like DHL, Johnson & Johnson, FDA, PwC, KeyBank, Spotify, and H&R Block – to automate their most complex document workflows.

We are looking for a Senior Software Engineer to join the Vantage engineering team. You will be a hands-on contributor building and evolving the services that power Vantage's document AI capabilities – from OCR pipelines and skill training workflows to API integrations and analytics infrastructure. You bring strong engineering fundamentals, a quality-first mindset, and a drive to deliver reliable, scalable software in a cloud-native environment.

Job Responsibilities:

• End-to-End Development: Design, develop, test, and deploy features and services within the Vantage platform, contributing to areas such as document processing pipelines, AI skill management, cloud infrastructure, and API layers.
• Code Quality: Write clean, maintainable, well-tested code; actively participate in code reviews and champion engineering best practices across your team.
• Cross-Functional Collaboration: Work closely with product managers, UX designers, ML engineers, and fellow software engineers to translate Vantage feature requirements into well-architected solutions.
• Continuous Improvement: Identify and surface improvements to existing Vantage services, tooling, and delivery workflows; contribute to reducing technical debt and increasing engineering velocity.
• System Reliability: Monitor the health and performance of Vantage cloud services; investigate and resolve production incidents in a timely manner.
• Technical Growth: Stay current with advances in Document AI, cloud-native patterns, and GenAI integration approaches that could enhance the Vantage platform.

Job Requirements:

• 5–9 years of professional software engineering experience with deep expertise in C# .NET and C++, willing to work with both languages
• Proven experience designing, implementing, and operating CI/CD pipelines for building, testing, and deploying workflows using GitHub Actions and/or Azure DevOps Pipelines
• Good understanding of microservices architecture, distributed system design, and cloud-native patterns at enterprise scale
• Demonstrated track record of delivering high-quality, testable code
• Strong analytical and debugging skills with the ability to investigate complex issues across distributed systems

Desired Qualifications

• Experience in cloud, preferably using Microsoft Azure (AKS, Storage, Key Vaults, Azure SQL or equivalent)
• Hands-on experience designing and operating workflow-driven systems (orchestration, retries, timeouts, and state management)
• Experience integrating Machine Learning, Neural Networks or LLMs into enterprise applications and workflows
• Familiarity with OCR, NLP and computer vision technologies
• Comfort operating across a globally distributed engineering organization spanning multiple regions and cultures

At JetBrains, code is our passion. Since 2000, we’ve focused on helping developers work faster by automating routine checks and fixes.  Our tools are used by over 12.5 million people worldwide, including eighty-eight Fortune Global 100 companies.

We are seeking a detail-oriented IAM Security Specialist to lead the integration, support, and governance of our identity ecosystem. You will be the bridge between technical implementation and security compliance, ensuring that every identity, whether human or machine, has exactly the permissions it needs and nothing more. Your focus will be on building scalable RBAC models and maintaining a rigorous access review cycle.

Key responsibilities

System integration and support:

• Lead the technical integration of new applications and services into our centralized IAM platform.
• Provide expert support for complex authentication/authorization issues and serve as a technical escalation point.
• Maintain and optimize IAM infrastructure, including SSO (SAML, OAuth 2.0, OIDC), MFA, and PAM solutions.

Access governance and permission reviews:

• Execute and oversee periodic access re-certifications, ensuring compliance across periodic audit cycles (SOC 2).
• Conduct detailed permission reviews for individuals and system integrations to enforce the Principle of Least Privilege (PoLP).

RBAC and ABAC modeling:

• Design, document, and implement Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC) frameworks across a wide range of systems.
• Partner with cross-functional teams (IT, Product, HR) to define business roles and translate them into technical entitlements.

Required skills and experience

• 3+ years of professional experience focused on Identity and Access Management (IAM) engineering or architecture.
• Proven experience administering enterprise IAM solutions and integrating them with diverse systems (e.g., Okta, Auth0, Ping Identity, Microsoft Entra ID).
• Scripting and automation skills using a scripting language such as Python, Go, Bash, or PowerShell.
• Familiarity with cloud IAM solutions (e.g., AWS IAM, GCP IAM).
• Solid understanding of networking, security protocols, and SSO technologies and standards, including SAML, OAuth 2.0, and OIDC.

Preferred qualifications

• Experience in the software development industry, particularly with managing access to source code repositories (Git/GitHub/GitLab) and CI/CD tools (TeamCity, GitLab CI).
• Hands-on experience with Privileged Access Management (PAM) concepts and tools.
• Knowledge of Zero Trust Architecture (ZTA) principles and how to apply them to developer workflows.
• Security certifications (e.g., CISSP, CISA, relevant vendor certifications).
• Familiarity with compliance frameworks relevant to software vendors (SOC 2).
  
  

Why join JetBrains?

JetBrains provides a highly technical and intellectually stimulating environment. You'll work on identity and access management systems used by millions of developers, with the opportunity to work with cutting-edge technologies every day. Help us keep our tools and systems secure. 
We offer:

• 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.
#LI-DNI 

P-1439

As a Senior Applied ML/AI Engineer at Databricks, you will apply machine learning and optimization algorithms to improve the usability and efficiency of the current AutoML and several other user-facing products that will benefit from better classification, regression, forecasting, and recommendations, either classical or based on deep learning. From statistical models all the way down to deep and foundational models, feature augmentation and auto-tuning, our Applied ML/AI team works on some of the most complex, most interesting problems facing businesses, making Databricks' infrastructure and products as performant and cost-efficient as possible. This is a high-impact problem as our customers look at us to deliver the most out of their data.

The impact you will have:

• Build features and run end-to-end systems in a small team of experienced engineers and data scientists.
• Shape the direction of our applied ML investment by engaging with engineering and product teams across the company.
• Drive the development and deployment of state-of-the-art ML/AI models and systems that directly impact the capabilities and performance of Databricks’ products, infrastructure, and services.
• Architect and implement robust, scalable ML infrastructure, including model training and serving components to support seamless integration of AI/ML models into production environments.
• Work on novel modeling techniques in the field of ML for forecasting.
• Possibilities to contribute to the broader AI community by presenting at conferences and actively participating in open source projects, enhancing Databricks’ reputation as an industry leader.

What we look for:

• 2-8 years of machine learning engineering experience in high-velocity, high-growth companies
• Strong understanding of both computer systems and statistics
• Experience developing AI/ML systems at scale in production
• Strong track record of ML modeling that goes beyond using standard libraries.
• Strong coding and software engineering skills, and familiarity with software engineering principles around testing, code reviews, and deployment.
• A large breadth of knowledge or willingness to develop mathematical modelling beyond the ML.
• Nice to have: experience deploying, scaling, and monitoring models in production; understanding of the unique infrastructure challenges posed by training and serving predictions in Tier 0 environments.

Why Join Us?

At Databricks, we are building state-of-the-art AI solutions that redefine how users interact with data and our products. You’ll have the opportunity to shape the future of AI-driven products at Databricks, work with cutting-edge models, and collaborate with a world-class team of AI and ML experts.

If you're excited about pushing the boundaries of AI in real-world applications, we’d love to hear from you!

P-1415

Our mission at Databricks is to radically simplify the whole data lifecycle from ingestion to ETL, BI, and all the way up to ML/AI with a unified platform. To achieve this goal, we believe the data warehouse architecture as we know it today will be replaced by a new architectural pattern, Lakehouse (CIDR 2021 paper), open platforms that unify data warehousing and advanced analytics. This new architecture will help address several major challenges, including data staleness, reliability, total cost of ownership, data lock-in, and limited use-case support.

To achieve this vision, Databricks is building the next generation (decoupled) query engine and structured storage system that can outperform specialized data warehouses in relational query performance. Yet we will retain the expressiveness and robustness of general purpose systems such as Apache Spark™ to support diverse workloads ranging from ETL to data science. You will be part of this multi-year journey.

As part of this team, you will design these next-generation systems that leapfrog state-of-the-art within the following areas:

• Query compilation and optimization
• Distributed query execution and scheduling
• Vectorized execution engine
• Data security
• Resource management
• Transaction coordination
• Efficient storage structures (encodings, indexes)
• Automatic physical data optimization

The responsibilities you will have:

• Drive requirements clarity and design decisions for ambiguous problems
• Produce technical design documents and project plans
• Develop new features
• Mentor more junior engineers
• Test and rollout to production, monitoring.

What we look for:

• A passion for database systems, storage systems, distributed systems, language design, or performance optimization
• Are comfortable working towards a multi-year vision with incremental deliverables
• Be customer-oriented and focused on having an impact
• 5+ years of experience working in a related system
• Optional: PhD in databases or distributed systems

P-1414

Our mission at Databricks is to radically simplify the whole data lifecycle from ingestion to ETL, BI, and all the way up to ML/AI with a unified platform. To achieve this goal, we believe the data warehouse architecture as we know it today will be replaced by a new architectural pattern, Lakehouse (CIDR 2021 paper), open platforms that unify data warehousing and advanced analytics. This new architecture will help address several major challenges, including data staleness, reliability, total cost of ownership, data lock-in, and limited use-case support.

To achieve this vision, Databricks is building the next generation (decoupled) query engine and structured storage system that can outperform specialized data warehouses in relational query performance. Yet we will retain the expressiveness and robustness of general purpose systems such as Apache Spark™ to support diverse workloads ranging from ETL to data science. You will be part of this multi-year journey.

As part of this team, you will design these next-generation systems that leapfrog state-of-the-art within the following areas:

• Query compilation and optimization
• Distributed query execution and scheduling
• Vectorized execution engine
• Data security
• Resource management
• Transaction coordination
• Efficient storage structures (encodings, indexes)
• Automatic physical data optimization

The responsibilities you will have:

• Drive requirements clarity and design decisions for ambiguous problems
• Produce technical design documents and project plans
• Develop new features
• Mentor more junior engineers
• Test and rollout to production, monitoring.

What we look for:

• A passion for database systems, storage systems, distributed systems, language design, or performance optimization
• Are comfortable working towards a multi-year vision with incremental deliverables
• Be customer-oriented and focused on having an impact
• 5+ years of experience working in a related system
• Optional: PhD in databases or distributed systems

P-1416

Our mission at Databricks is to radically simplify the whole data lifecycle from ingestion to ETL, BI, and all the way up to ML/AI with a unified platform. To achieve this goal, we believe the data warehouse architecture as we know it today will be replaced by a new architectural pattern, Lakehouse (CIDR 2021 paper), open platforms that unify data warehousing and advanced analytics. This new architecture will help address several major challenges, including data staleness, reliability, total cost of ownership, data lock-in, and limited use-case support.

To achieve this vision, Databricks is building the next generation (decoupled) query engine and structured storage system that can outperform specialized data warehouses in relational query performance. Yet we will retain the expressiveness and robustness of general purpose systems such as Apache Spark™ to support diverse workloads ranging from ETL to data science. You will be part of this multi-year journey.

As part of this team, you will design these next-generation systems that leapfrog state-of-the-art within the following areas:

• Query compilation and optimization
• Distributed query execution and scheduling
• Vectorized execution engine
• Data security
• Resource management
• Transaction coordination
• Efficient storage structures (encodings, indexes)
• Automatic physical data optimization

The responsibilities you will have:

• Drive requirements clarity and design decisions for ambiguous problems
• Produce technical design documents and project plans
• Develop new features
• Mentor more junior engineers
• Test and rollout to production, monitoring.

What we look for:

• A passion for database systems, storage systems, distributed systems, language design, or performance optimization
• Are comfortable working towards a multi-year vision with incremental deliverables
• Be customer-oriented and focused on having an impact
• 7+ years of experience working in a related system
• Optional: PhD in databases or distributed systems

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’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

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.

JetBrains is evolving beyond standalone developer tools toward a unified, AI-native platform for software development.

AI is no longer just an assistant inside the editor – it is becoming an active participant in how software is planned, built, reviewed, and operated across teams and organizations. This shift introduces new challenges that cannot be solved at the level of individual tools alone: governance, security, cost control, observability, and coordinated work between humans and autonomous agents.

Our goal is to build a platform that enables companies to adopt AI in software development in a structured, scalable, and economically efficient manner without locking them into closed ecosystems. This platform will serve as the execution and governance layer for AI-driven development, deeply integrated with developer tools but designed to work across teams, products, and environments.

We are looking for an experienced ML leader who has created products with an ML backbone, weaving together research, technical excellence, and strong product focus.

We are seeking a professional who excels in three key areas: technology, product vision, and business operations. This role involves extensive cooperation with products across the company – both AI-native and just integrating AI.

In this role, you will: 

• Identify, prioritize, and champion high-impact AI projects that align with JetBrains' product strategy and deliver measurable business value.
• Lead a team of about 50 people across multiple AI initiatives, including hiring and developing team leads, ML engineers, and MLOps specialists.
• Set the technical direction for JetBrains’ ML roadmap,  translating cutting-edge AI advancements into practical product innovations.
• Ensure projects deliver on commitments and create measurable value.
• Set technical standards, architectural direction, and best practices for ML development.

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

• The ability to balance long-term R&D with short-term product needs.
• A track record of shipping production ML systems that users actually use.
• Experience building business cases for technical projects.
• A deep understanding of modern ML infrastructure, LLMs, and AI tooling.
• Outstanding stakeholder management skills and are comfortable working with senior leaders.
• The ability to thrive in a fast-paced environment, effectively managing multiple projects simultaneously.
• Excellent management and communication skills.
• Attention to detail in everything you do.

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

• Distributed training of multi-billion parameter models.
• CI systems, workflow automation, and experiment tracking.
• The Kotlin programming language.

#LI-KP1 #LI-HYBRID

At JetBrains, code is our passion. Ever since we started, back in 2000, we have strived 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.

AI features in JetBrains IDEs, developed by the IntelliJ AI team, have quickly become a core part of how developers work inside our IDEs. The IntelliJ AI team partners with product groups across JetBrains to embed advanced AI features that accelerate developer workflows and deliver real value to software engineers.

We are currently looking to hire a Senior Machine Learning Engineer to help us realize our ambitious vision of creating AI assistance that supports the entire development lifecycle across JetBrains IDEs. If selected, you will join the ML subteam within IntelliJ AI, driving the development of our ML system from end to end by defining evaluation and metrics, shaping context orchestration, and helping product teams tailor AI capabilities to their needs.

In this role, you will:

• Design and drive evaluation frameworks for AI features, including metrics, experiments, and agent trace analysis.
• Diagnose model performance issues (e.g. prompt drift, context mismatches, and latency/quality trade-offs) and translate findings into actionable improvements.
• Experiment with contexts and lightweight models to continuously develop our ML system.
• Act as the ML liaison for product teams across JetBrains, adapting and scaling AI capabilities in JetBrains IDEs to their needs.
• Build and maintain small helper models (e.g. re-rankers, classifiers, embedding models) to support domain-specific tasks.
• Collaborate with colleagues in ML, product, engineering, and analytic teams to deliver improvements and monitor their impact in production.
• Stay up to date with research in the fields of LLMs, agents, and evaluation, bringing best practices into our workflows.
• Mentor junior engineers and help shape team culture, processes, and tooling around experimentation and evaluation.

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

• Have 5+ years of experience as an ML Engineer, with a solid background in production-grade ML systems (especially LLMs and agent architectures).
• Have experience with LLM evaluation methods and frameworks.
• Can design and run end-to-end experiments – hypotheses, metrics, data collection (including traces/logs), analysis, and decision-making.
• Are skilled in context-aware pipelines or conversational/agent systems.
• Have strong Python programming skills.
• Bring hands-on experience in fine-tuning or training smaller models (e.g. domain-specific fine-tuning and lightweight customizations).
• Communicate clearly and effectively across teams, translating ML/AI insights into product features.
• Have prior mentorship experience with ML/evaluation engineers.
• Thrive in a cross-functional, fast-moving environment, taking ownership, iterating quickly, and delivering results.

We’d be especially thrilled if you have: 

• Familiarity with agent-based systems and orchestrating multi-step reasoning agents.
• Experience with the Kotlin programming language.

#LI-MR1

Job Overview

Wargaming is looking for a proactive, excited, and determined Senior Game Data Analyst to strengthen the World of Tanks product analytics team.

We collect all kinds of information about the player's behavior and the events in the ‘WoT universe’: from economic, financial, and detailed combat data to the precise coordinates of each shot and tank movement, interface telemetry, and many others. All of them are routed to a singular database and are available for analysis 24/7.

You will be working with the WoT Product Team responsible for the decision-making process, with the Data Warehouse team responsible for data storage, reports system, and our infrastructure, as well as 60 analytics all over the world united under Wargaming Global Analyst Network.

What will you do?

• Helping deliver important analytical insights to managers and other product teams necessary for decision making

• Use quantitative analysis to understand how the game is played and identify impact and growth opportunities

• Participating in analytical maintenance for features, game events and modes throughout all development and release stages:

  • Pre-Production Analytics: modeling likely outcomes and risks from implementing new features, game modes and events into the game; predict the future events, product KPIs and metrics; providing analysis of their full development cycle (from concept to release)

  • Production Analytics: developing and preparing analytical reports, metrics and methodologies for evaluating features, game modes and events in operation; looking for anomalies and insights that help increase effectiveness of the product and its parts

• Operation Analytics: creating and supporting analytical tools and interfaces (dashboards) for rapid updates on the status of the product and its subsystems delivered to the management and the responsible teams

• Gather and formulate requirements, conduct analytical research from producers, PMs, UX/UI and game designers, developers, QA and artists

• Presenting the research results and filling the product analytics knowledge base to share with other teams

What are we looking for?

• 5+ years experience on a similar position

• Understanding the principles of formalizing business tasks in research plans, as well as experience writing analytical reports and presenting their results

• Advanced SQL knowledge

• Experience with at least one data visualization solution (Tableau / Qlik / Microsoft Power BI, etc)

• Experience with Python/R and popular libraries for data processing and analysis

• Great communication skills, both written and spoken, especially for a non-technical audience

• Written and spoken English (B2 and higher)

What additional skills will help you stand out?

• Being prepared to learn, take in, and systemize vast amounts of data within a short time

• Experience working with Cloudera Impala / Hive, Oracle SQL, Snowflake

• Knowledge and practical application of machine learning algorithms

• Rich gaming experience in different games and over 1000 World of Tanks battles

Work mode

• Full-time employment

• Hybrid (2-3 days of work from the office) or remote (from anywhere within Poland).

• Candidates must be legally authorized to work in Poland at the time of application

Type of Contract and Salary

• Employment Contract (umowa o prace)

• The salary range for this role is 15 000 - 25 000 PLN gross monthly

 The final salary within the range will depend on the candidate’s experience, skills, and performance during the interview.

 Please note that this salary range applies to Poland; for other locations, it might be different.

Benefits

Benefits and perks are tailored to the local market and culture. Our benefits in Warsaw include:

• Additional paid time off (5 Personal Days, Birthday Leave) on top of the statutory minimum

• Sick Leave 100% Compensation (10 days per calendar year)

• Career development and education opportunities within the company

• Premium Private Health Care 

• Mental well-being program (iFeel)

• Multisport card

• Personal Gaming Account 

• Company events

• Seniority Awards  

• Referral program - you can recommend the best talents to the Company and receive a reward  

Please submit your CV in English to ensure smooth processing and review.

Job Overview

Wargaming is looking for a proactive, excited and determined Senior Game Data Analyst to strengthen the World of Tanks product analytics team.

We collect all kinds of information about the player behavior and the events in the ‘WoT universe’: from economic, financial and detailed combat data to the precise coordinates of each shot and tank movement, interface telemetry and many others. All of them are routed to a singular database and are available for analysis 24/7.

You will be working with the WoT Product Team responsible for decision-making process, with the Data Warehouse team responsible for data storage, reports system and our infrastructure, as well as 60 analytics all over the world united under Wargaming Global Analyst Network.

What will you do?

• Helping deliver important analytical insights to managers and other product teams necessary for decision-making

• Use quantitative analysis to understand how the game is played and identify impact and growth opportunities

• Participating in analytical maintenance for features, game events and modes throughout all development and release stages:

  • Pre-Production Analytics: modeling likely outcomes and risks from implementing new features, game modes and events into the game; predict the future events, product KPIs and metrics; providing analysis of their full development cycle (from concept to release)

  • Production Analytics: developing and preparing analytical reports, metrics and methodologies for evaluating features, game modes and events in operation; looking for anomalies and insights that help increase effectiveness of the product and its parts

• Operation Analytics: creating and supporting analytical tools and interfaces (dashboards) for rapid updates on the status of the product and its subsystems delivered to the management and the responsible teams

• Gather and formulate requirements, conduct analytical research from producers, PMs, UX/UI and game designers, developers, QA and artists

• Presenting the research results and filling the product analytics knowledge base to share with other teams

What are we looking for?

• 5+ years experience on a similar position

• Understanding the principles of formalizing business tasks in research plans, as well as experience writing analytical reports and presenting their results

• Advanced SQL knowledge

• Experience with at least one data visualization solution (Tableau / Qlik / Microsoft Power BI, etc)

• Experience with Python/R and popular libraries for data processing and analysis

• Great communication skills, both written and spoken, especially for non-technical audience

• Written and spoken English (B2 and higher)

What additional skills will help you stand out?

• Being prepared to learn, take in and systemize vast amounts of data within a short time

• Experience working with Cloudera Impala / Hive, Oracle SQL, Snowflake

• Knowledge and practical application of machine learning algorithms

• Rich gaming experience in different games and over 1000 World of Tanks battles

The salary range for this position is 4000-6500 € (gross) per month.

Note that this salary range is valid for Lithuania, for other locations it might be different.

Work Mode

• Hybrid (2-3 days of work from the office)

Benefits

Benefits and perks are tailored to the local market and culture. Our benefits in Vilnius include:

• Additional paid time off 

• Sick Leave Compensation

• Pregnancy and Childbirth Leave Benefit  

• Career development and education opportunities within the company

• Meal Allowance

• Premium Private Health Care 

• Mental well-being program (iFeel)

• Perks discounts platform (over 450 exclusive discounts)

• Personal Gaming Account

• Coffee, fruits, and snacks in the office

• Company events 

• Seniority Awards  

• Referral program - You can recommend the best talents to the company and receive a reward  

Please submit your CV in English to ensure smooth processing and review.

Job Overview

Wargaming is looking for a proactive, excited and determined Senior Game Data Analyst to strengthen the World of Tanks product analytics team.

We collect all kinds of information about the player behavior and  the events in the ‘WoT universe’: from economic, financial and detailed combat data to the precise coordinates of each shot and tank movement, interface telemetry and many others. All of them are routed to a singular database and are available for analysis 24/7.

You will be working with the WoT Product Team responsible for decision-making process, with the Data Warehouse team responsible for data storage, reports system and our infrastructure, as well as 60 analytics all over the world united under Wargaming Global Analyst Network.

What will you do?

• Helping deliver important analytical insights to managers and other product teams necessary for decision making

• Use quantitative analysis to understand how the game is played and identify impact and growth opportunities

• Participating in analytical maintenance for features, game events and modes throughout all development and release stages:

  • Pre-Production Analytics: modeling likely outcomes and risks from implementing new features, game modes and events into the game; predict the future events, product KPIs and metrics; providing analysis of their full development cycle (from concept to release)

  • Production Analytics: developing and preparing analytical reports, metrics and methodologies for evaluating features, game modes and events in operation; looking for anomalies and insights that help increase effectiveness of the product and its parts

• Operation Analytics: creating and supporting analytical tools and interfaces (dashboards) for rapid updates on the status of the product and its subsystems delivered to the management and the responsible teams

• Gather and formulate requirements, conduct analytical research from producers, PMs, UX/UI and game designers, developers, QA and artists

• Presenting the research results and filling the product analytics knowledge base to share with other teams

What are we looking for?

• 5+ years experience on a similar position

• Understanding the principles of formalizing business tasks in research plans, as well as experience writing analytical reports and presenting their results

• Advanced SQL knowledge

• Experience with at least one data visualization solution (Tableau / Qlik / Microsoft Power BI, etc)

• Experience with Python/R and popular libraries for data processing and analysis

• Great communication skills, both written and spoken, especially for non-technical audience

• Written and spoken English (B2 and higher)

What additional skills will help you stand out?

• Being prepared to learn, take in and systemize vast amounts of data within a short time

• Experience working with Cloudera Impala / Hive, Oracle SQL, Snowflake

• Knowledge and practical application of machine learning algorithms

• Rich gaming experience in different games and over 1000 World of Tanks battles

Work mode

• Hybrid (2-3 days of work from the office) 

• This role is eligible for relocation & immigration support

Benefits

Benefits and perks are tailored to the local market and culture. Our benefits in Belgrade include:

• Additional vacation days based on years of service at Wargaming: up to 5 days on top of the statutory minimum

• Additional paid time off (5 Personal Days, Birthday Leave, Marriage Leave, Compassionate Leave)

• Sick Leave Compensation, Maternity Leave Benefits  

• Premium Private Health Insurance

• Career development and education opportunities within the company

• English clubs and platform for learning languages

• Mental well-being program (iFeel)

• Commuting allowance

• Company events

• FitPass membership

• Discounts for employees

• Personal Gaming Account

• Coffee, fruits, and snacks in the office

• On-site canteen with subsidized prices for food and drinks

• Seniority Awards

• Referral program - you can recommend the best talents to the Company and receive a reward

Please submit your CV in English to ensure smooth processing and review.

Job Overview

Wargaming is looking for a proactive, excited and determined Senior Game Data Analyst to strengthen the World of Tanks product analytics team.

We collect all kinds of information about the player behavior and  the events in the ‘WoT universe’: from economic, financial and detailed combat data to the precise coordinates of each shot and tank movement, interface telemetry and many others. All of them are routed to a singular database and are available for analysis 24/7.

You will be working with the WoT Product Team responsible for decision-making process, with the Data Warehouse team responsible for data storage, reports system and our infrastructure, as well as 60 analytics all over the world united under Wargaming Global Analyst Network.

What will you do?

• Helping deliver important analytical insights to managers and other product teams necessary for decision making.

• Use quantitative analysis to understand how the game is played and identify impact and growth opportunities.

• Participating in analytical maintenance for features, game events and modes throughout all development and release stages:

  • Pre-Production Analytics: modeling likely outcomes and risks from implementing new features, game modes and events into the game; predict the future events, product KPIs and metrics; providing analysis of their full development cycle (from concept to release);

  • Production Analytics: developing and preparing analytical reports, metrics and methodologies for evaluating features, game modes and events in operation; looking for anomalies and insights that help increase effectiveness of the product and its parts;

• Operation Analytics: creating and supporting analytical tools and interfaces (dashboards) for rapid updates on the status of the product and its subsystems delivered to the management and the responsible teams.

• Gather and formulate requirements, conduct analytical research from producers, PMs, UX/UI and game designers, developers, QA and artists.

• Presenting the research results and filling the product analytics knowledge base to share with other teams.

What are we looking for?

• 5+ years experience on a similar position.

• Understanding the principles of formalizing business tasks in research plans, as well as experience writing analytical reports and presenting their results.

• Advanced SQL knowledge.

• Experience with at least one data visualization solution (Tableau / Qlik / Microsoft Power BI, etc).

• Experience with Python/R and popular libraries for data processing and analysis.

• Great communication skills, both written and spoken, especially for non-technical audience.

• Written and spoken English (B1 and higher).

What additional skills will help you stand out?

• Being prepared to learn, take in and systemize vast amounts of data within a short time.

• Experience working with Cloudera Impala / Hive, Oracle SQL, Snowflake.

• Knowledge and practical application of machine learning algorithms.

• Rich gaming experience in different games and over 1000 World of Tanks battles.

Work mode

• Hybrid (2-3 days of work from the office) 

Benefits

Benefits and perks are tailored to the local market and culture. Our benefits in Prague include:

• 5 weeks of Annual Leave per calendar year

• Additional paid time off 

• Sick Leave Compensation, Maternity & Paternity Leave Benefits  

• Career development and education opportunities within the company

• Meal card contribution

• Public transportation allowance

• Premium private healthcare

• Mental well-being program (iFeel)

• Multisport Employee discounts

• Personal Gaming Account 

• Coffee, fruits, and snacks in the office

• Company events

• Seniority Awards  

• Referral program - You can recommend the best talents to the company and receive a reward  

Please submit your CV in English to ensure smooth processing and review.

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.

#LI-DNI

At JetBrains, we have a passion for building the strongest, most effective developer tools in the world. Our tools are designed to give developers the freedom to grow, discover, and create. Over eight million of the world's most dynamic developers speed up their workflows using our products, which help them stay focused on code design and the big picture, allowing them to deliver more creative and effective results.

The remote development functionality in JetBrains products redirects IDE-heavy processing from a local machine to a powerful remote server, reimagining how developers work. With hardware performance no longer a limitation, developers can work from anywhere while benefiting from improved security, stability, and reliability.

We're looking for a QA Automation Engineer to join the Remote Development team and help ensure that the products software engineers around the world rely on daily are of the highest quality.

You'll work alongside QA Engineers to design and implement automated testing scenarios that catch issues before they reach our users, cover regressions with automated tests, and improve automation processes within the team.

What you'll do

Core responsibilities

Test automation 

• Design, develop, and maintain automated tests (UI, E2E, functional, and integration) across multiple platforms and environments: Linux, Windows, macOS, Docker, and WSL.
• Expand test coverage for new and existing functionality.
• Monitor automated test execution results.
• Debug and troubleshoot test failures, distinguishing product issues (regressions) from infrastructure-related issues (including test, framework, or environment).
• Optimize test execution time and reliability.
• Improve test automation stability and contribute to automation frameworks.

Quality assurance 

• Report bugs in YouTrack and verify that they are properly fixed and backported. 
• Participate in release quality assessments.
• Collaborate with QA and developers on testability and quality improvements. 
• Help define test strategies and quality gates for your team.
• Support manual QA activities when needed.

Continuous improvement 

• Define and track quality metrics, including testing coverage, failure rate, and flakiness.
• Identify gaps in test coverage and propose solutions.
• Improve domain-specific test infrastructure and CI/CD pipelines within your team's scope.
• Share knowledge about automation best practices with other team members.
• Work with the tooling team to adopt new frameworks and practices.

What we're looking for

Required skills

Technical foundation

• Proven experience in test automation.
• Solid programming skills in Kotlin or Java and a good understanding of the JVM.
• Experience with test frameworks: JUnit or TestNG.
• Understanding of software testing principles and methodologies.
• Familiarity with CI/CD tools (TeamCity or similar).
• Experience with reporting tools (Allure or others).
• Version control experience (Git).

Quality mindset

• The ability to isolate root causes and distinguish product bugs from environment issues.
• Attention to detail while maintaining focus on overall quality goals.

Collaboration

• Excellent communication skills in English, both written and verbal.
• Experience working in cross-functional teams and collaborating with other teams.
• Comfort with giving and receiving constructive feedback.
• The ability to grasp new concepts quickly and to work both in a team and independently.

Nice to have

• Experience testing developer tools, IDEs, and desktop applications.
• Experience building automated testing infrastructure and processes.
• Experience in performance testing.
• Experience in manual testing.

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.

#LI-DNI 

• Partner with Sales stakeholders to define analytical requirements, metrics, and KPIs, and identify opportunities for improvement.
• Develop and maintain dashboards, reports, and visualizations that provide timely and actionable insights.
• Analyze revenue streams and contribute to forecasting using statistical, heuristic, or machine learning approaches.
• Perform exploratory and ad hoc analyses to support decision-making across Sales and related teams.
• Collaborate with data engineers to design and implement data marts, reporting layers, and ETL pipelines; contribute to our dbt-based analytics infrastructure.
• Support Sales Development and Lead Generation teams by analyzing experiments and campaign performance.
• Monitor data quality across reporting assets and work with data owners to resolve issues.
• Document metrics, dashboards, and data sources, and help stakeholders effectively use analytics tools.
• Promote self-service analytics by enabling teams to access and interpret data independently.

• 5+ years of experience in a BI, data analysis, or similar analytical role.
• Strong SQL skills and experience with Python, R, or another relevant programming language.
• Experience with BI and visualization tools such as Tableau, Power BI, Qlik, DataLens, or similar.
• Understanding of data warehousing concepts, relational databases, and data processing workflows.
• Experience working with structured datasets and building reliable reporting solutions.
• Strong analytical thinking, attention to detail, and curiosity about data.
• Ability to communicate clearly with both technical and non-technical stakeholders.
• Professional working proficiency in English.

• Experience working with Sales, Marketing, or other go-to-market domains, especially in B2B environments.
• Hands-on experience building ETL pipelines and preparing datasets for analytics.
• Experience working with dbt or similar data transformation tools.
• Familiarity with data governance and data quality practices.

#LI-DNI

As the Senior Technical Product Manager for Platform, you will own the product strategy for the shared services layer that powers Constructor's learning and research applications. You will drive the evolution of Platform capabilities - including identity, data infrastructure, AI/ML services, and developer tools - into a modular foundation. Your work enables internal teams and external partners to build and ship faster while maintaining enterprise-grade security, compliance, and global readiness.

Duties and Responsibilities:

• Define and drive the product vision for a multi-instance, scalable foundation that supports SaaS and on-premise deployments
• Collaborate with application product teams to consolidate fragmented components and requirements into unified platform services
• Stay up-to-date with industry developments and technologies to inform Platform strategy
• Communicate Platform insights and recommendations to stakeholders and the leadership team
• Act as a point of contact for cross-functional teams and stakeholders
• Analyse performance data to identify areas for improvement and optimisation
• Collaborate with the development team to identify and prioritise new features and capabilities
• Drive a roadmap with dependencies across the wider organisation, balancing technical constraints with business needs

Qualifications and experience:

• 5+ years of experience working as a program or product manager for a platform, SaaS infrastructure, or API products
• Computer Science or similar degree
• A strong technical background. You are comfortable discussing API design, architecture, and authentication flows.
• Excellent analytical and problem-solving skills
• Strong communication and collaboration skills
• Experience leading teams and working with cross-functional stakeholders

Nice to Have:

• Experience with developer platforms or platform-as-a-service products
• Experience managing AI/ML infrastructure or platforms

As a Data Engineer, at Speechmatics, you’ll design and manage the data pipelines that power our state-of-the-art speech models. You'll be work at the intersection of infrastructure, engineering, and research to create large-scale, high-quality datasets efficiently. If you love solving complex technical problems and optimising systems for real-world AI applications, this is the role for you.

What you’ll be doing:

• Develop and maintain scalable web scraping solutions to extract data from multiple sources

• Design, implement and maintain scalable data pipelines for ingestion, transformation, and storage of large datasets for high-performance AI models.

• Ensure data quality and integrity through validation, cleaning, and normalisation processes.

• Manage data infrastructure, including databases, and cloud storage solutions.

• Optimise performance of scraping scripts and pipelines for speed, reliability, and scalability.

• Monitor and troubleshoot data workflows reliability and efficiency.

• Identify new opportunities to source or generate relevant datasets.

• Stay compliant with data privacy and security regulations when handling sensitive or proprietary data.

• Collaborate closely with our ML Engineers to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.

• Collaborate with others on the ML team and Speechmatics leadership to craft the roadmap for our data work to power excellency in voice AI.

Who we are looking for:

• Extensive industry experience in software/data engineering.

• Strong proficiency in Python and SQL.

• Hands-on experience with web scraping, crawlers and awareness of the latest web frameworks, and protocols to improve scraping efficiency

• Professional experience with a major cloud provider.

• Knowledge of data pipelines, ETL (extract, transform, load) processes.

• Exposure to data for machine learning.

• Familiarity with data compliance standards and privacy-preserving data methods.

• Experience with on-prem infrastructure.

As a Solutions Engineer at Speechmatics, you’ll play a key role in helping customers successfully evaluate and adopt our industry-leading speech technology. You’ll partner closely with Sales to guide customers through the entire technical journey,  from discovery and solution design to proof-of-concept delivery and technical validation.

This is a hands-on role: you’ll build demos, write code, deploy environments, and solve real customer problems.

You’ll also take ownership of selected accounts, helping scale the team’s impact while gaining exposure to global customers across multiple industries. We’ll support you with structured onboarding and training so you can quickly become confident with our technology and customers.

What You’ll Be Doing

• Partnering with Sales to lead the technical pre-sales process from discovery to close
• Understanding customer requirements (security, scale, integrations, accuracy, workflows) and designing practical solutions
• Building and delivering technical demos, prototypes, and Proofs of Concept (PoCs)
• Deploying and configuring environments in cloud or on-prem setups for customer evaluations
• Writing scripts or lightweight integrations (Python or JavaScript) to support demos and customer testing
• Troubleshooting customer challenges and guiding them toward successful outcomes
• Delivering engaging technical presentations to customers, partners, and events
• Supporting conferences and showcases with compelling technical demonstrations
• Sharing knowledge internally and helping Sales stay up to date as our platform evolves

Who We’re Looking For:

• Previous experience working in a customer-facing technical role
  (Sales Engineering, Solutions Engineering, Pre-Sales, Technical Consulting, or similar)
• Hands-on programming ability in Python
• Comfortable working with APIs, integrations, and technical troubleshooting
• Experience deploying or configuring software in cloud, Linux, containers, or networked environments
• Strong problem-solving skills and ability to translate customer needs into workable solutions
• Confident communicator who enjoys working directly with customers
• Self-motivated, curious, and eager to learn new technologies quickly
• Collaborative mindset and ability to manage multiple opportunities simultaneously