21 of 21 Google JAX Jobs

Expertise: Strong Python skills with the ML stack: NumPy, pandas, scikit-learn Hands-on experience with at least one deep learning framework (PyTorch, TensorFlow, JAX) Solid grounding in core ML—supervised, unsupervised, evaluation, regularisation, statistics Production ML experience—deploying, serving and monitoring models at scale LLM and generative ...

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 ...

post‐doc positions), with exposure to: building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch, JAX), especially including deep learning applications; developing models for bespoke problem settings that involve high‐dimensional data (spatiotemporal, geometric, physical); iterating on network architectures ...

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 ...

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). ...

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 ...

following: Reinforcement Learning, Bayesian Optimisation, AI agents, LLMs, VLMs. Proficiency in Python and experience with at least one major ML framework (PyTorch, TensorFlow, or JAX). Ability to work in a fast‐paced, research‐oriented environment with ambiguous and evolving goals. Passion for bridging fundamental AI research with impactful ...

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 ...

help shape engineering best practices. Balance research ambitions with practical engineering trade-offs to deliver value quickly. Technology Python PyTorch and/or JAX Large-scale GPU training and inference infrastructure Modern ML deployment pipelines Ideal Experience Proven experience delivering machine learning systems into production. Strong understanding of modern ...

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 ...

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 ...

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 ...

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 click apply for full job details ...

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 mobil... WKCL1_UKTJ ...

NAACL, ICLR) with specific focus on agent systems, tool use, or multi-agent coordination. Familiarity with one or more deep learning frameworks (e.g. PyTorch, JAX, TensorFlow, ...). Excellent communication skills to report and present research findings and developments clearly, both orally and in writing. Curious and innovative disposition … writing production code. Experience training large-scale models over distributed nodes with cloud tools and providers such as Amazon AWS, Microsoft Azure, LambdaLabs or Google Cloud. You will enjoy Learning and development: On-the-job coaching and learning as well as the opportunity to work with cutting-edge methods ...

NAACL, ICLR) with specific focus on agent systems, tool use, or multi‐agent coordination. Familiarity with one or more deep learning frameworks (e.g. pytorch, jax, tensorflow, ...) Experience in ML Research beyond completing a PhD (e.g. supervision, industry experience, leading academic initiatives, ...). Excellent communication skills to report … source libraries or writing production code. Experience training large‐scale models over distributed nodes with cloud tools such as Amazon AWS, MS Azure, or Google Cloud. You will enjoy Learning and development: On-the-job coaching and learning as well as the opportunity to work with cutting‐edge methods ...

experience conducting research in machine learning, evidenced by publications or prior research roles. Experience in programming with Python-based scientific libraries (e.g., NumPy, SciPy, JAX, or TensorFlow). Experience with language models (LLMs), transformers, diffusion models, text diffusion, or distributed training. Experience with machine learning, mathematics, and statistics (e.g. … research papers. Distributed computation for ML, especially in the context of accelerators (e.g., sharding, multi-host computation). About the job As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams ...

NVLink/InfiniBand), Kubernetes/Slurm, and OS internals Expertise in Python and deep experience with modern deep learning frameworks (PyTorch and/or JAX) Advanced degree (MS or PhD) in Computer Science, Machine Learning, Physics, Mathematics, or a related quantitative field, or equivalent industry experience at a frontier … orientation, and excellent collaborative communication Reliable and predictable availability Bonus Points Expertise in: CUDA kernel development, Triton/Pallas/CuTe DSLs, PyTorch/JAX internals, XLA optimization, or hardware acceleration (FPGA/ASIC) Knowledge of reinforcement learning, post-training, or fine-tuning techniques Knowledge of financial markets ...

advanced reinforcement learning topics, such as RL for sequence models, post‐training, preference‐based learning, or agentic systems. Familiarity with modern research stacks (e.g., JAX/Flax or PyTorch) and experience scaling experiments. Strong experimental judgment, including selecting appropriate baselines and designing insightful ablations. Comfort with scaling methodologies, evaluation … enable research at scale. Communicate research findings through write‐ups, presentations, and publications, while fostering a culture of high standards and constructive feedback. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users ...

CoreWeave is the Essential Cloud for AI. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI ...

Early stage frontier frontier AI lab founded by ex-OpenAI, MSL and Google DeepMind researchers. Significant backing from tier 1 VCs. Currently in deep stealth mode We're hiring a number of Research Scientists to work on conformal prediction and uncertainty quantification. You'll solve one of the hardest … uncertainty quantification and statistical learning theory Probabilistic modelling, online learning, or Bayesian methods Ideal experience: Foundation models, generative AI, or multi-agent systems PyTorch, JAX, and large-scale ML systems ...