51 to 75 of 117 Google JAX Jobs in the UK

solid production track record Proficient in Python and at least one systems language - Rust, C++, or Go Hands-on experience with PyTorch or JAX in an industry setting Experience with inference frameworks: vLLM, SGLang, TensorRT-LLM Solid distributed systems fundamentals and experience operating production ML infrastructure Working knowledge ...

engineers through technical leadership, code reviews and best practices. Building systems that balance performance, latency, reliability and scalability. Technology Python PyTorch and/or JAX GPU-based model training and inference Modern machine learning infrastructure What We're Looking For Commercial experience building and deploying machine learning models into ...

creative teams to turn ML capabilities into compelling experiences What We’re Looking For: Strong knowledge of Python Experience writing models in PyTorch or JAX A good understanding of how large language models work Comfortable working along the whole ML pipeline: from data preparation to model design, training ...

generative models — architecture, training, and inference. Experience with deep learning infrastructure: streaming datasets, checkpointing & state management, distributed training strategies. Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code. Familiarity with modern software engineering practices. You document experiments clearly and communicate trade‐offs ...

application is highly valued.LLM experience is valuable, but not necessary.Strong engineering skills valued, especially any of: GPU kernel development, lower-level Pytorch/JAX development, intermediate C++, FPGA/ASIC experience, HPC experience.The estimated base salary range for this position is 200,000 to 300,000 USD per year ...

refine existing products.Prior experience in working cross-discipline in matrixed organizations. Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR.Experience using large-scale distributed training and inference.Strong mentorship, communication, and problem-solving skills.A demonstrated passion for applied ML models and products.Bonus ...

refine existing products. Prior experience in working cross-discipline in matrixed organizations. Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR. Experience using large-scale distributed training and inference. Strong mentorship, communication, and problem-solving skills. A demonstrated passion for applied ...

compiler, workflow engine, distributed training system, database, debugger, or orchestration platform Meaningful contributions to systems such as Ray, Temporal, Kafka, Erlang/BEAM, PyTorch, JAX, TensorFlow, or comparable projects Strong API design judgement, open-source collaboration, and disciplined approaches to testing, versioning, compatibility, and reproducibility Experience in ML systems ...

ability to collaborate effectively in interdisciplinary teamsNice-to-haves:Experience in autonomous driving, robotics, or simulation systemsFamiliarity with large-scale training (e.g., FSDP, DeepSpeed, JAX)Experience with sim-to-real transfer or data-efficient learningContributions to open-source ML tools or research infrastructureWhat we offer you Attractive compensation with ...

running experiments, and debugging pipelines, and who can carry research results through to production with engineering. Strong coding and experimentation skills (Python, PyTorch/JAX/Tensorflow). Ability to communicate clearly, collaborate across teams, and align research work with product and engineering priorities. Nice to have Experience quantifying ...

experience with other robotics simulators (Drake, MuJoCo, Newton, Isaac, RaiSim, Jiminy, Brax). PyTorch, our user-facing interface. Other JIT compilers such as Triton, JAX, or Numba. 3D tooling and interactive editors (Maya, Blender, Houdini). Serialization formats (USD, glTF, MJCF/URDF). C++, CUDA, or Metal. Developer ...

research direction with strong execution, and experience mentoring others on a fast‐moving, applied research team. Strong coding and experimentation skills (Python, PyTorch/JAX/Tensorflow), and the ability to communicate clearly and align research with product and engineering priorities. Nice to have Demonstrated experience fine‐tuning ...

skills. Ability to balance strategic thinking with hands-on technical leadership. Comfortable operating within a fast-paced, high-growth environment. Technology Environment Python PyTorch JAX Large Language Models (LLMs) GPU Training & Inference Infrastructure Distributed ML Systems Why Join? Help shape the future of AI-powered productivity. Work alongside ...

models — architecture, training, and inference. Experience solving real problems using reinforcement learning with deep neural networks in any domain. Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code. You are self‐driven, pro‐active, communicate efficiently, document experiments clearly and communicate trade ...

bitwidth numerics. You will also be expected to assist in the design of novel hardware architectures for accelerating our models, mapping AI models from JAX graphs to transistors. Attributes You will be an experienced software engineer, likely in C/C++/Rust or a similar language. You will ...

easy or obvious solutions.QualificationsStrong engineering skills, especially any of: CUDA/Triton/Pallas/CuTe DSL kernel development, lower-level PyTorch/JAX/XLA development, CUDA Graphs, FPGA/ASIC experienceMust have two or more years work experience building deep learning systems, for any domain: robotics, biology ...

lead complex research efforts while staying grounded in product impact, user experience, and real-world performance. Strong coding and experimentation skills (Python, PyTorch/JAX, audio processing libraries). Ability to communicate clearly, collaborate across teams, and align research work with product and engineering priorities. Proven experience mentoring others ...

integrating ML systems into production while staying grounded in product impact and real-world quality. Strong coding and experimentation skills (Python, PyTorch/JAX/Tensorflow), and the ability to communicate clearly and align research with product and engineering priorities. Ability to lead complex research efforts, to communicate clearly ...

C++ or Java A strong background in the mathematical foundations of core ML algorithms, paired with hands‐on experience using deep learning frameworks (PyTorch, JAX, TensorFlow), agentic orchestration ecosystems (LangGraph, Google ADK), and Model Context Protocol tooling (RustMCP) Strong written and verbal communication skills to document your work ...

evaluation, and testing Optimise reliability, scalability, latency, and user experience Work closely with Product and Engineering teams to solve complex customer problems Python PyTorch JAX vLLM Vector Databases What We're Looking For Strong software engineering fundamentals Experience building AI agents, copilots, RAG systems, or workflow automation platforms Excellent ...

integrating ML systems into production while staying grounded in product impact and real‐world quality. Strong coding and experimentation skills (Python, PyTorch/JAX/Tensorflow), and the ability to communicate clearly and align research with product and engineering priorities. Ability to lead complex research efforts, to communicate clearly ...

models, fighting deep learning compilers). Excellent understanding of GPU architecture and why some models run faster than others. Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code. You document experiments clearly and communicate trade‐offs crisply. Nice to have: Robotics ...

impacting real world drug design programs.Skills and qualifications Essential:Significant experience with large scale distributed training of LLMs.Experience with deep learning ML frameworks (either JAX or PyTorch).Knowledge of parallelism strategies and collective communication libraries (e.g. NCCL).Good understanding of GPU architectures. Reasoning about performance concepts is more important ...

design and commitment to the development of reusable, scalable, and testable software components. Basic understanding of at least one major deep learning framework (PyTorch, JAX, TensorFlow). Knowledge of command‐line tools and shell scripting. Knowledge of software engineering best practices, including continuous integration (CI) and continuous deployment … issues in live systems. Experience designing and administering SQL databases, schema design, query performance, and day‐to‐day operational management. Hands‐on experience with Google Cloud Platform, in particular the services we build on: Cloud Run, Google Kubernetes Engine, Cloud Storage, Artifact Registry, Cloud SQL. Fluency in English. ...

with strong software engineering practicesDemonstrated expertise in building production-quality code and data pipelines for ML systemsProficiency in modern AI development frameworks including: PyTorch, Jax , HuggingFace Transformers, LLM APIs (litellm etc) and vLLM for building and deploying large-scale AI applicationsUnderstanding of LLM training methodologies including instruction fine-tuning … data generation, data curation, or curriculum learning pipelinesExperience training large-scale models over distributed nodes with cloud tools such as AWS, MS Azure, or Google CloudHands-on experience with MLOps, experiment tracking, and model deployment systemsStrong interest in staying current with ML research literature and ability to quickly implement ...