1 to 25 of 83 Google JAX Jobs

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 ...

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 ...

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 vision, algorithms or related areas Strong programming ability in Python, C++, Rust or Java Experience with frameworks such as PyTorch, TensorFlow or JAX Strong mathematical and problem-solving fundamentals An interest in combining machine learning with traditional algorithms and engineering techniques The ability to communicate technical ideas clearly ...

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 ...

machine learning models for time-series or sensor data Strong programming skills in Python Experience with machine learning frameworks such as PyTorch, TensorFlow, or JAX Experience building data pipelines and training workflows Ability to work with imperfect, noisy, or incomplete datasets Nice to Have Experience with physiological signal processing ...

Agents, reasoning models, and RAG Have high-level familiarity with the architecture and operation of large language models Have personally implemented models in PyTorch, Jax, or TensorFlow Have a strong foundation in data structures, algorithms, and software engineering principles Exhibit excellent problem-solving and analytical skills with a proactive ...

Solid grounding in machine learning/deep-learning fundamentals — you can build, train, and debug neural networks from scratch in a modern framework (PyTorch, JAX, or similar). Demonstrable hands-on experience: research projects, publications, internships, open-source, or production work. Comfortable reading ML papers and reimplementing them. ...

transformers, SSMs) Solid development skills in Python and/or C++ Familiarity with ML libraries/frameworks such as PyTorch, TensorFlow, and/or JAX Intellectual curiosity, versatility, and originality combined with a pragmatic outlook Ability to thrive in a collaborative, team-oriented environment Ability to reason through quantitative ...

contributions, or other artifacts. 5+ years of software engineering experience, including deep familiarity with Python and at least one deep learning framework (e.g., PyTorch, JAX). Experience using the latest coding agents, and opinions about optimal workflow. Enthusiasm for experimental organizational design. AI-pilled: adopting agents, keen to build ...

equivalent practical experience. Strong Python programming and software‐engineering skills. Experience developing machine‐learning, generative AI or LLM applications. Practical experience with PyTorch, JAX, TensorFlow or a similar framework. Understanding of agentic AI concepts such as tool calling, planning, memory and workflow orchestration. Knowledge of reinforcement learning, preference optimisation ...

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 ...

Nice to have Experience with optimisation, reinforcement learning and/or large language models Familiarity with deep learning frameworks such as TensorFlow, PyTorch or JAX Experience building and maintaining research infrastructure or tools Exposure to chip design or applied AI research #J-18808-Ljbffr ...

Nice to have Experience with optimisation, reinforcement learning and/or large language models Familiarity with deep learning frameworks such as TensorFlow, PyTorch or JAX Experience with scalable system design and deployment in research or production environments Exposure to chip design or applied AI research A track record ...

prototypes to reliable deployment; Have experience partnering closely with researchers throughout implementation; Be proficient in Python and deep learning frameworks such as PyTorch or JAX; Have strong software engineering fundamentals, including clean, testable, well‐documented and maintainable code, version control and code reviews; Have experience with distributed training frameworks ...

large, possibly noisy, data sets. Strong analytical and quantitative skills, and a detail-oriented mindset. Strong proficiency in machine learning libraries such as Torch, JAX or TensorFlow. Competence in Python, cluster environment, and general software engineering principles (source control, testing, collaborative workflow). Excellent written and verbal communication skills ...

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 ...

professional software engineering experience with meaningful work on ML inference or high-performance systems.* Familiarity with at least one deep learning framework (PyTorch, JAX, TensorFlow).* Understanding of GPU architectures (memory hierarchy, warp scheduling, tensor cores).* Understanding of common LLM architectures and inference optimization techniques (e.g. quantization, speculative ...

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 ...

engineering: kernel/network tuning, lock-free programming, hardware-aware optimization, or FPGA-adjacent systems. Experience with ML/data tooling such as PyTorch, JAX, CUDA, GPU clusters, Ray, Kafka, Kubernetes, Spark, or comparable technologies. Understanding of market microstructure, backtesting pitfalls, transaction costs, and the operational needs of live ...

record of shipping products and features inside a fast-moving environment Strong coding skills in Python and familiarity with ML frameworks like PyTorch or JAX Experience training, fine-tuning, and evaluating large language models Deep familiarity with large language models and web agents, how they work, and how they ...

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 limited to API usage or prompt engineering is not sufficient. Experience building large‐scale data pipelines and distributed training systems using PyTorch, JAX, or equivalent frameworks. Deep knowledge of large‐model training and evaluation: optimization, parallelism, mixed precision, checkpointing, experiment design, ablations, and benchmarking. Evidence of research ...

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 ...