25 of 25 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 ...

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). ...

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 ...

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 ...

classification. Hands on experience with model training, evaluation, and validation in applied settings. Proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, JAX). Ability to work in an applied R&D environment with experimental and field data, balancing model performance with real world constraints. Nice to Have ...

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 ...

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 ...

uncertainty, reproducibility, and robustness. Good programming skills, particularly in Python. Experience working with machine learning and LLM tooling ecosystems, including frameworks such as PyTorch, JAX, or modern LLM orchestration and evaluation frameworks. The ability to work independently while collaborating effectively across disciplines. Preferred qualifications Information extraction from scientific literature ...

uncertainty, reproducibility, and robustness. Good programming skills, particularly in Python. Experience working with machine learning and LLM tooling ecosystems, including frameworks such as PyTorch, JAX, or modern LLM orchestration and evaluation frameworks. The ability to work independently while collaborating effectively across disciplines. Experience in one or more ...

years of experience in Machine Learning Engineering, Robotics AI, Computer Vision, or related fields Strong proficiency in Python Hands-on experience with PyTorch, TensorFlow, JAX, or Scikit-learn Experience building, deploying, and maintaining ML systems in production Experience with computer vision, sensor fusion, robotics perception, reinforcement learning, SLAM, localization ...

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 ...

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 ...

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.) Experience with deployment on embedded/mobile devices (such as smartphones, with mobil... WKCL1_UKTJ ...

work with minimal friction. Iterations on models and systems are measurable, safe, and improve user experience over time. Tech Stack Python PyTorch/JAX GPU-based training and inference system Ideal Experience You have built or shipped real ML systems used by people, not just demos. You are comfortable ...

design and commitment to the development of reusable, scalable, and testable software components. Basic understanding of at least one major deep learning framework (PyTorch, JAX, TensorFlow). Knowledge of command-line tools and shell scripting. Knowledge of software engineering best practices, including continuous integration (CI) and continuous deployment … issues in live systems. Experience designing and administering SQL databases - schema design, query performance, and day-to-day operational management. Hands-on experience with Google Cloud Platform, in particular the services we build on: Cloud Run, Google Kubernetes Engine, Cloud Storage, Artifact Registry, Cloud SQL. Fluency in English. ...

EMNLP, 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 … open-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 ...

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 ...

Role: AI Engineer Experience: 8-10years Location: London Contract duration: 12 months Job Description: Proven experience as an AI, Machine Learning, or Privacy Engineer. - Proficiency in programming languages such as Python is added advantage. ...

Senior Project Manager, Data Science Initiatives The Senior Project Manager, Data Science Initiatives will play a leadership role within JAX Research, overseeing the planning, facilitating, executing, and delivering high-priority data science projects within established timelines, resource constraints, and defined objectives. This role is an essential point of leadership … data-informed recommendations to internal and external stakeholders while driving alignment, accountability, and efficient execution across the project lifecycle. Remote (with travel to JAX sites as needed) Salary Range: $74,772 $125,184 based on years of related experience Key Responsibilities (What you contribute): Build and standardize project management ...

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 ...