12 of 12 Google JAX Jobs in London

learning, deep learning and applied mathematicsProduction experience building agentic AI/LLM-based systemsStrong programming ability in Python, Rust, C++ or JavaExperience with PyTorch, JAX, TensorFlow or agent orchestration frameworksExcellent engineering judgement and the ability to turn research into robust, production-ready AIA genuine interest in solving difficult technical ...

good fit if you: Are proficient in Python and async/concurrent programming with frameworks like TrioHave experience with machine learning frameworks (PyTorch, TensorFlow, JAX)Have industry experience in machine learning researchCan balance research exploration with engineering implementationEnjoy pair programming (we love to pair!)Care about code quality, testing ...

applied mathematicsExperience training, fine-tuning or deploying production-grade modelsExcellent programming skills in Python, with Rust, C++ or Java advantageousStrong experience with PyTorch, JAX or TensorFlowKnowledge of LLMs, transformer architectures, model optimisation or agentic systemsThe ability to turn complex research into reliable, production-ready softwareBonus points ...

application is highly valued.LLM experience is valuable, but not necessary.Strong engineering skills valued, especially any of: GPU kernel development, lower-level Pytorch/JAX development, intermediate C++, FPGA/ASIC experience, HPC experience.The estimated base salary range for this position is 200,000 to 300,000 USD per year ...

easy or obvious solutions.QualificationsStrong engineering skills, especially any of: CUDA/Triton/Pallas/CuTe DSL kernel development, lower-level PyTorch/JAX/XLA development, CUDA Graphs, FPGA/ASIC experienceMust have two or more years work experience building deep learning systems, for any domain: robotics, biology ...

easy or obvious solutions.QualificationsStrong engineering skills, especially any of: CUDA/Triton/Pallas/CuTe DSL kernel development, lower-level PyTorch/JAX/XLA development, CUDA Graphs, FPGA/ASIC experienceMust have two or more years work experience building deep learning systems, for any domain: robotics, biology ...

world drug design programs. Skills and qualifications Essential: Significant experience with large scale distributed training of LLMs. Experience with deep learning ML frameworks (either JAX or PyTorch).Knowledge of parallelism strategies and collective communication libraries (e.g. NCCL).Good understanding of GPU architectures. Reasoning about performance concepts is more important ...

Work on AI framework development to successfully enable PyTorch models to run on Google Cloud's Tensor Processing Units (TPUs) and Graphics Processing Units (GPUs) and tune for peak performance. Provide comprehensive support for ML frameworks and compilers on Cloud TPUs and GPUs, enabling the training and deployment … generative models, computer vision (image recognition, object detection, image generation), machine translation, language modeling, rankings and recommendations, speech recognition, etc. Collaborate with other Google teams and leading researchers across the industry to continuously bring ML capabilities to our PyTorch-in-Cloud offering. Contribute to open-source software development. Minimum ...

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 ...

debugging approaches, and lessons learnedYou May Be a Good Fit If You: Have hands-on experience training large language models, or deep expertise with JAX, TPU, PyTorch, or large-scale distributed systemsGenuinely enjoy both research and engineering work—you'd describe your ideal split as roughly 50/… research engineerCare about the societal impacts of AI and responsible scalingStrong Candidates May Also Have: Previous experience training LLM's or working extensively with JAX/TPU, PyTorch, or other ML frameworks at scaleContributed to open-source LLM frameworks (e.g., open_lm, llm-foundry, mesh-transformer-jax)Published ...

related technical field, or equivalent practical experience.2 years of experience with software engineering involving Python-based ML/scientific libraries such as JAX or internship experience in these areas or Open Source Software (OSS) contributions.1 year of experience with machine learning. Preferred qualifications: Experience with large-scale system design … collaborate with, and communicate effectively with, people with different skill sets and needs, and who may be distributed across different time zones. At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas ...