1 to 25 of 39 Google JAX Jobs

Physics, Applied Mathematics, Statistics, Computer Science or similar Excellent Python skills for AI/ML development Hands-on experience with frameworks such as PyTorch, JAX, TensorFlow, Scikit-Learn or similar Strong mathematical and statistical foundations Experience developing ML models or AI systems beyond experimentation An ability to work across ...

Strong software engineering skills: clean code, testing, debugging, version control, and system design. Proficiency in Python with experience in ML frameworks (PyTorch, TensorFlow, or JAX). Hands‐on experience with cloud platforms (AWS, GCP, or Azure) and containerisation (Docker, Kubernetes). Solid understanding of ML fundamentals (model training, evaluation ...

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). ...

have been instrumental in: building machine learning models and pipelines in Python, using common libraries and frameworks (PyTorch/CUDA, ideally with exposure to JAX, NumPy/SciPy), especially including deep learning applications; developing models for bespoke problem settings that involve high‐dimensional data (spatiotemporal, geometric, physical); iterating ...

learning, and/or large language models (LLMs) Experience in chip design and applied AI research Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX) Experience influencing organizational policy and securing major research funding ...

learning, and/or large language models (LLMs) Experience in chip design and applied AI research Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX) Experience influencing organizational policy and securing major research funding ...

probability, optimisation, statistics, and ML fundamentals • Strong Python programming skills, with C++ experience considered highly beneficial • Experience using frameworks such as PyTorch, TensorFlow, or JAX • Experience building scalable ML systems for production environments • Familiarity with cloud or GPU based training infrastructure and MLOps workflows • Experience designing evaluation, testing ...

/ML incubations or complex deep‐tech cross‐functional initiatives with measurable outcomes. Expertise in Python and deep experience with deep‐learning frameworks (e.g., Jax, TensorFlow, PyTorch) and state‐of‐the‐art ML techniques. Practical experience with modern AI paradigms such as world models, foundation models, multi‐modal language ...

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 If this sounds like ...

abilities, including technical documentation 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 If this sounds like ...

awareness of latency and cost tradeoffs MLOps competency — experiment tracking, model versioning, evaluation pipelines, ML CI Experience with Python and modern ML frameworks (PyTorch, JAX) Excellent verbal and written English communication skills Excellent analytical and problem-solving skills A desire to innovate and push current practice Desirable: Experience with ...

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 ...

boundaries of what AI can actually do. Experience required: Strong hands-on experience with Reinforcement Learning (RL) Python and modern ML frameworks ( PyTorch, JAX, TensorFlow ) Experience working with time-series or sensor data Ability to turn real-world problems into practical ML solutions Comfortable taking models from research into ...

research projects end to end — from problem formulation through to evaluation and deployment. Knowledge of modern, larger-scale Python and the ML stack (PyTorch, JAX, or equivalent). You write research-grade code. Practical experience building large-scale data pipelines. We don't have data infrastructure — you'll help ...

members in diverse fields Strong programming abilities in Python, and extensive experience with the scientific and machine-learning stack: Numpy, Torch/Tensorflow/Jax, Scikit-learn, Polars, SQL Expertise with deep learning approaches such as diffusion or flow matching Proficiency in modern software development practices: code testing, documentation ...

Statistics, Computer Science, Physics, Engineering, or a related quantitative discipline Strong commercial experience developing machine learning models in Python using frameworks such as PyTorch, JAX, or TensorFlow Experience building predictive models for time-series, forecasting, signal generation, or large-scale data analysis Strong understanding of statistics, probability, optimisation ...

reinforcement learning Experience with agent frameworks, tool-use planning and workflow orchestration Systems-level fluency across data pipelines, training infrastructure and inference (PyTorch, JAX, TensorFlow) Strong MLOps discipline: CI/CD for models, offline/online evaluation, safety and guardrails The ability to influence at exec level and mentor ...

About the Role JD.com seeking an experienced AI Engineer to join our growing technical team at Joybuy (https://www.joybuy.com/). Joybuy is JD.com’s European full-category online retail brand designed to ...

message types, and topic debugging* Experience working with physical robot hardware, camera streams, joint states, or latency-sensitive control paths* OpenCV, NumPy, pandas, PyTorch, JAX, cloud, HPC, or LeRobot dataset format experience* Experience working closely with ML researchers or robotics engineers in a fast-moving technical environment The Company ...

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. ...

knowledge of ML evaluation, validation strategy, and failure modes including error analysis and iteration planning ● Experience with model development using PyTorch/TensorFlow/JAX ● Ability to communicate clearly across technical + scientific stakeholders ● Strong experience leading or coordinating cross-functional teams, and thinking strategically across product and science ...

work in bwHPC-S5. Ideally, your profile is supplemented by: Experience with AI frameworks, workloads (e.g. Natural Language Processing), and libraries (e.g., PyTorch or JAX). Experience with parallel programming paradigms. Some background in the field of (green) transport (e.g., fleet optimisation, energy-efficient logistics, smart city planning). ...

learning systems, with shipped models or published research. Hands-on experience with Vision Language Models, LLMs, or generative models. Strong Python and PyTorch/JAX skills, including debugging, profiling, and shipping. A passion for bridging the gap between simulation and reality. This is a technically challenging role with ...

excited by applying those skills to one of the most interesting data domains in AI. Areas of interest include: PyTorch/JAX internals CUDA, XLA or Triton optimisation Distributed training systems GPU cluster performance tuning Large-scale experiment management Training reliability and reproducibility Kubernetes and orchestration tooling Infrastructure supporting ...

agents already running in production What We're Looking For Essential 3-5 years training and deploying deep RL agents in Python PyTorch or JAX, and RL libraries such as Gymnasium A background in physical systems - engineering (mechanical, electrical, structural, biomedical), physics, robotics, autonomous driving, or control systems ...