1 to 25 of 66 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 ...

. 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 ...

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 ...

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 ...

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. ...

reinforcement learning, including practical experience training and debugging deep RL agents on non-trivial problems Solid Python and modern ML tooling (PyTorch or JAX, NumPy, common RL libraries) Comfort working with time-series sensor data, including the realities of missingness, drift, calibration issues, and noisy labels. Ability to formulate ...

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 ...

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 ...

synthetic data for robustness. General Qualifications 3+ years of machine learning research experience (PhD research counts toward this requirement). Strong experience with PyTorch, JAX, TensorFlow, or similar ML frameworks. Degree from a top‐100 university, experience at a FAANG or comparable AI company, or an equivalent research track ...

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 ...

neural network training dynamics Strong programming skills in Python and hands‐on experience with at least one modern deep learning framework, such as PyTorch, JAX, or TensorFlow Strong communication skills with the ability to explain technical ideas clearly to both technical and non‐technical audiences Please note that ...

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 ...

synthetic data for robustness. General Qualifications 3+ years of machine learning research experience (PhD research counts toward this requirement). Strong experience with PyTorch, JAX, TensorFlow, or similar ML frameworks. Degree from a top-100 university, experience at a FAANG or comparable AI company, or an equivalent research track ...

technical collaborators are essential. Experience of fine-tuning open-weight models using parameter efficient methods, knowledge of a deep learning framework (PyTorch, JAX/FLAX or Tensorflow 2.0) and the Hugging Face ecosystem; experience of LLM observability and cost tracking; and familiarity with experimental and causal methods would ...

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 ...

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 ...

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 ...

/ML methods to complex scientific datasets. Strong programming and scientific computing skills in Python (e.g. numpy, pandas, PyTorch and/or JAX). Experience analysing complex biological, imaging or spatial datasets, or strong evidence of rapidly adapting to new data domains. Excellent communication, organisational and collaborative working skills. ...

Dialogflow, Gemini) ML Development: Experience with Machine Learning model development and deployment. AIML Frameworks: Experience with frameworks for deep learning (e.g., PyTorch, TensorFlow, Jax, Ray, etc.), AI accelerators (e.g. TPUs, GPUs), model architectures (e.g., encoders, decoders, transformers), and using machine learning APIs. Must Have- Troubleshooting Code Experience: 2 years ...

programming skills in Python, with experience in C++, MATLAB, or similar languages desirable. Experience with a deep learning framework such as PyTorch, TensorFlow, or JAX (desirable). Experience with engineering simulation tools relevant to CFD, hydrodynamics, or vessel performance, such as STAR-CCM+. Understanding of naval architecture, ship hydrodynamics ...

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 ...

skills in Python , with experience in C++, MATLAB, or similar languages desirable . Experience with a deep learning framework such as PyTorch, TensorFlow, or JAX (desirable). Experience with engineering simulation tools relevant to CFD, hydrodynamics, or vessel performance, such as STAR-CCM+. Understanding of naval architecture, ship hydrodynamics ...