1 to 25 of 91 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 ...

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 ...

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 ...

deploying machine learning or AI systems in production; Proficiency in Python and experience with AI/ML frameworks such as PyTorch, TensorFlow, or JAX; Strong foundation in machine learning, deep learning architectures, and natural language processing, particularly large language models; Experience with cloud platforms such ...

related frameworks Experience on AI/ML model implementations using scikit learn, Tensor flow etc., Experience with Chat, IVR, Banking will be plus Google Cloud (GCP) knowledgeAbout NTT DATANTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed ...

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 ...

Java, and their associated security considerations. Coding experience with AI & ML, deep learning and data manipulation techniques, libraries, and frameworks such as TensorFlow, PyTorch, Jax, and scikit-learn. Familiarity with current and emerging regulations and standards, such as the EU AI Act, the Digital Services Act, the Digital Markets ...

equivalent practical experience. ML Fundamentals: Deep understanding of machine learning principles and techniques. Framework Expertise: Strong proficiency in deep learning frameworks such as JAX or PyTorch. Modern Architectures: Hands-on experience building and working with modern model architectures (e.g., Transformers, GNNs, Diffusion Models).Full ML Lifecycle: Experience taking models ...

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 ...

Effective problem-solver who takes initiative in complex production settings Experience with scientific computing, deep learning, big data, or health IT ontologies (e.g., PyTorch, JAX, Spark, HL7, FHIR) (desirable) Familiarity with cloud infrastructure (Azure/AWS), infrastructure as code, Kubernetes, Linux, Docker, data pipelines, and MLOps tools (desirable) Passion ...

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. ...

Stay current with advancements in LLMs, VLMs, and related fields Requirements: Technical skills: Strong programming skills (Python, Git) Expertise in deep learning frameworks (PyTorch, JAX, TensorFlow) Experience with large-scale distributed training of LLMs and VLMs Hands‐on experience with LLM training, alignment, and reinforcement learning Knowledge of multimodal ...

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 ...

Automation Skills Essential: Competent in writing Shell Scripts. Desirable: Experience of C, Python or Fortran programming. Experience of installing and using PyTORCH, Tensorflow, openCV & Jax Understanding the work of the Laboratory Essential: Experience working in an IT support, academic or research environment. Desirable: Research experience in Biology. People Skills ...

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 ...

Minimum qualifications: Master's degree in computer science, mathematics, applied statistics, machine learning or equivalent practical experience. Experience of TensorFlow or ML frameworks (e.g. JAX or PyTorch). Experience working in industry, working on projects from proof-of-concept through to implementation. Experience with training diffusion models. Experience conducting ...

Minimum qualifications: Master's degree in computer science, mathematics, applied statistics, machine learning or equivalent practical experience. Experience of TensorFlow or ML frameworks (e.g. JAX or PyTorch). Experience working in industry, working on projects from proof-of-concept through to implementation. Experience with training diffusion models. Experience conducting ...

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 ...

reliable deployment Experience working in close partnership with researchers throughout the implementation process Proficiency in Python and deep learning frameworks such as PyTorch or JAX) Strong software engineering fundamentals - writing clean, testable, well-documented and maintainable code, version control, code reviews Experience with distributed training frameworks such as PyTorch ...

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 ...

collaborate effectively in interdisciplinary teams Nice-to-haves: Experience in autonomous driving, robotics, or simulation systems Familiarity with large-scale training (e.g., FSDP, DeepSpeed, JAX) Experience with sim-to-real transfer or data-efficient learning Contributions to open-source ML tools or research infrastructure What we offer you Attractive ...

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 ...