1 to 25 of 33 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 ...

Python, C++, or similar Experience with optimization, reinforcement learning, and/or large language models (LLMs) Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX) Experience with scalable system design and deployment in research or production environments Exposure to chip design or applied AI research If this sounds like ...

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 ...

boundaries of what AI can actually do. Experience required: Strong hands-on experience with Reinforcement Learning (RL) Python and modern ML frameworks ( PyTorch, JAX, TensorFlow ) Experience working with time-series or sensor data Ability to turn real-world problems into practical ML solutions Comfortable taking models from research into ...

Physics, Applied Mathematics, Statistics, Computer Science or similar Excellent Python skills for AI/ML development Hands-on experience with frameworks such as PyTorch, JAX, TensorFlow, Scikit-Learn or similar Strong mathematical and statistical foundations Experience developing ML models or AI systems beyond experimentation An ability to work across ...

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 ...

awareness of latency and cost tradeoffs MLOps competency — experiment tracking, model versioning, evaluation pipelines, ML CI Experience with Python and modern ML frameworks (PyTorch, JAX) Excellent verbal and written English communication skills Excellent analytical and problem-solving skills A desire to innovate and push current practice Desirable: Experience with ...

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 ...

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 ...

About the Role JD.com seeking an experienced AI Engineer to join our growing technical team at Joybuy (https://www.joybuy.com/). Joybuy is JD.com’s European full-category online retail brand designed to ...

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 ...

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 ...

solid production track record Proficient in Python and at least one systems language - Rust, C++, or Go Hands-on experience with PyTorch or JAX in an industry setting Experience with inference frameworks: vLLM, SGLang, TensorRT-LLM Solid distributed systems fundamentals and experience operating production ML infrastructure Working knowledge ...

agents already running in production What We're Looking For Essential 3-5 years training and deploying deep RL agents in Python PyTorch or JAX, and RL libraries such as Gymnasium A background in physical systems - engineering (mechanical, electrical, structural, biomedical), physics, robotics, autonomous driving, or control systems ...

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 ...

work What you bring Engineering/physics degree Strong RL experience (deep RL, debugging, non‐trivial problems) Python + modern ML stack (PyTorch/JAX, NumPy, RL libs) Comfortable with time‐series sensor data Ability to turn ambiguous operational challenges into tractable ML problems Happy switching between research ...

transformer architectures Proven experience training, fine-tuning, or shipping large-scale models in production Strong with at least one major ML framework (PyTorch, JAX) and quick to pick up others Familiar with distributed training and inference tooling: DeepSpeed, FSDP, Megatron, ZeRO, Ray Engineering discipline: code that's readable, robust ...

expertise in foundation models, transformers, representation learning, and generative AI Proven experience training large-scale models on distributed GPU infrastructure Deep knowledge of PyTorch, JAX, or equivalent deep learning frameworks Strong software engineering and systems design capabilities Experience leading complex technical initiatives and mentoring engineering teams Expertise in probabilistic ...

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. ...

stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global … LLMs: Understanding of LLM architectures, pre and/or post-training, evaluations and inference. Programming languages: Proficiency in Python using PyTorch/TensorFlow/JAX framework. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). ...

stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global … understanding of LLM architectures, pre and/or post-training, evaluations and inference. Programming languages: Excellent proficiency in Python using PyTorch/TensorFlow/JAX framework. Customer facing: Experience working directly with customers to solve applied problems, including product integration. Cloud-native technologies: Experience in developing and deploying ...