1 to 25 of 71 Google JAX Jobs

quantitative discipline. Research experience involving machine learning, deep learning, optimisation or statistical modelling. Strong Python programming skills. Experience with frameworks such as PyTorch, TensorFlow, JAX or Keras. Experience designing experiments, evaluating model performance and interpreting results. A curious mindset and a passion for exploring emerging technologies. Excellent written ...

applied AI research. Commercial or research experience implementing machine learning algorithms. Strong programming skills in Python; C++ experience is advantageous. Experience with PyTorch, TensorFlow, JAX, or similar deep learning frameworks. Why Apply? Join a world-class AI research team working on cutting-edge machine learning technologies. Play ...

track record of building and maintaining production‐quality systems. Expert‐level Python experience with numerical, statistical, or ML libraries (e.g. NumPy, pandas, PyTorch, JAX, TensorFlow). Deep understanding of statistical modelling, optimisation, or machine‐learning techniques. Experience building and operating backend systems and data pipelines in a cloud environment ...

computer science, or a related field. Deep practical experience in Python and at least one modern machine learning framework such as PyTorch, TensorFlow, or JAX, experience working with large compute clusters and ML infrastructure is a plus. A track record of leading self-directed research projects that go well ...

Senior) or 8+ years (Staff) of hands‐on applied ML experience, including production‐grade work. Deep familiarity with modern deep learning stack (PyTorch or JAX), and breadth across at least two of: generative models (diffusion, autoregressive, flow‐based), graph and equivariant networks, vision (CNNs, ViTs, multimodal LLMs), search ...

sufficient). Engineering & Math Foundation: Strong mathematical understanding of core AI approaches, high proficiency in Python, and hands-on experience with PyTorch (or JAX/TensorFlow). Domain Adaptability: Proven track record of technical versatility—ability to quickly adapt, learn, and deliver impact in new domains or projects outside ...

computer science, or a related field. Deep practical experience in Python and at least one modern machine learning framework such as PyTorch, TensorFlow, or JAX, experience working with large compute clusters and ML infrastructure is a plus. A track record of leading self-directed research projects that go well ...

Deep Learning (essential) \n Building and developing Deep Learning models from research through to implementation \n System Modelling or Simulation Modelling \n PyTorch, JAX, NumPy or similar machine learning frameworks \n Experience working within an Applied Research or R&D environment \n\n Desirable experience includes: \n \n Time ...

Computer Science (or equivalent proven track record). 4 + years working on large‐scale ML codebases. Hands‐on with PyTorch, JAX or TensorFlow; comfortable with distributed training (DeepSpeed/FSDP/SLURM/K8s). Experience in deep learning, NLP or LLMs; bonus for CUDA or data‐pipeline ...

language understanding. The ability to write clean and maintainable code in Python, Rust, C++ or Java Experience with frameworks such as PyTorch, Tensorflow or JAX Strong written and verbal communication skills to document your work effectively and present it to relevant stakeholders and users A passion for identifying ...

Python, C++, or similar Experience with optimization, reinforcement learning, and/or large language models (LLMs) Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX) Experience with scalable system design and deployment in research or production environments Exposure to chip design or applied AI research ...

equivalent experience in Computer Science, Maths, Machine Learning, Data Science, or related field. Desirable: Exposure to machine learning frameworks such as PyTorch, JAX, Triton, TensorFlow Experience with distributed workload management systems such as Kubernetes, VLLM, Keras or MLOps pipelines Experience working with hardware simulators or emulators (e.g. QEMU). ...

strong programming skills in Python , Rust, or similar; and strong software engineering fundamentals building performant and reliable systems. Proficient in deep learning frameworks (Pytorch, JAX, TensorFlow). You can work on different layers of the stack from low-level training backends, data ingestion to ML/RL algorithmic design ...

reproducible and reliable. You have experience down to the level of CUDA kernels or XLA. You have contributed to open source projects like PyTorch, JAX, MLX or similar. You care about research outcomes as much as system uptime. You form opinions about what experiments ...

Advanced proficiency in Python and C++ within a Linux/UNIX environment. Technical Stack: Extensive practical experience with leading machine learning frameworks (e.g., PyTorch , JAX , or TensorFlow ). Research Experience: A demonstrated track record of designing and implementing complex machine learning architectures to solve rigorous, data-heavy problems. Note ...

others); OR equivalent work experience delivering state‐of‐the‐art AI/ML solutions. Experience with at least one major deep learning framework (PyTorch, JAX, TensorFlow). Familiarity with machine learning literature and state‐of‐the‐art approaches. Experience developing and delivering robust software solutions, including demonstrated advanced programming ...

networks, training vs inference, numerical precision, performance trade‐offs). Hands‐on experience with one or more major ML frameworks such as PyTorch, TensorFlow, JAX, or similar. Strong proficiency in Python for ML workflows, experimentation, and automation. Experience designing, running, and analysing ML benchmarks or experiments. Experience working ...

least two of the following areas: Multimodal Learning Computer Vision Natural Language Processing Recommendation Systems Representation Learning Hands‐on experience with PyTorch, TensorFlow, or JAX Experience working with Large Language Models, Vision Language Models, or Multimodal LLMs Experience deploying machine learning models into large-scale production environments By applying ...

operations research or a closely related STEM field from a top university. Strong practical experience building machine learning models in Python, ideally using PyTorch, JAX or similar frameworks. Experience with one or more of: scientific machine learning, physics-informed ML, time-series modelling, optimisation, simulation, forecasting or probabilistic modelling. ...

expertise. Creative thinkers who are driven, self-motivated, and eager to solve challenging problems Proficiency in Python and/or C++ Proficiency in Pytorch, JAX, Tensorflow or other DL library. Ability to thrive in a collaborative, team-oriented environment Expertise in GPU or Accelerator programming (CUDA, Triton, SYCL, ROCm ...

expertise. Creative thinkers who are driven, self-motivated, and eager to solve challenging problems Proficiency in Python and/or C++ Proficiency in Pytorch, JAX, Tensorflow or other DL library. Ability to thrive in a collaborative, team-oriented environment Expertise in GPU or Accelerator programming (CUDA, Triton, SYCL, ROCm ...

experience, with at least 2 years in an ML or AI-adjacent role Strong Python skills and familiarity with major ML frameworks (PyTorch or JAX); comfortable reading and modifying model code Hands-on experience building and operating ML pipelines in production: data pipelines, training orchestration, evaluation, and serving Experience ...

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 ...

experience in academia or industry We will consider various levels of experience in relevant research areas Key Skills: Experience with ML frameworks (PyTorch, TensorFlow, JAX) and efficient ML (incl. quantization, pruning, sparsification, distillation, etc.) Experience with deployment on embedded/mobile devices (such as smartphones, with mobile ...

shape the research agenda. Qualifications Strong engineering skills, especially in CUDA/Triton/Pallas/CuTe DSL kernel development, lower‐level PyTorch/JAX/XLA development, CUDA Graphs, FPGA/ASIC experience. At least two years of work experience building deep learning systems in any domain (robotics ...