101 to 114 of 114 Google JAX Jobs in England

practical experience. 5 years of experience developing, training, and deploying diffusion models and generative video architectures. Experience writing custom GPU/TPU kernels (e.g., JAX or PyTorch) for model serving. Preferred qualifications: PhD in Computer Science, Machine Learning, AI, or a related quantitative field or equivalent practical experience. Experience … inference. Proven track record of deploying machine learning models to production at scale or publishing widely adopted open-source research. About the job 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 ...

equivalent practical experience.5 years of experience developing, training, and deploying diffusion models and generative video architectures.Experience writing custom GPU/TPU kernels (e.g., JAX or PyTorch) for model serving.Preferred qualifications:PhD in Computer Science, Machine Learning, AI, or a related quantitative field or equivalent practical experience.Experience in frontier … optimize model performance and inference.Proven track record of deploying machine learning models to production at scale or publishing widely adopted open-source research.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 ...

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 ...

results in top-tier conferences and journals (e.g., NeurIPS, ICML, ICLR, *ACL, EMNLP, Nature)Implementing research ideas using modern deep learning frameworks (PyTorch/JAX), model/dataset libraries (Huggingface transformers/diffusers), and efficient kernels (Triton/CUDA)Contributing to research projects on adaptive memory, latent tokenization, sparse … with CUDA kernels and/or Triton, and inference engines (vLLM, SGLang, et cetera).Experience coding with deep learning libraries such as Pytorch/JAX is essential.Fluent written and spoken English skills as well as contributions to the group culture are expected.Applicants must hold a PhD in computer science ...

Most diseases are still poorly understood at a biological level. Despite decades of research, the causal mechanisms driving many conditions remain unclear, limiting our ability to identify the right targets, design the right interventions and ...

AI ACCELERATOR Most diseases are still poorly understood at a biological level. Despite decades of research, the causal mechanisms driving many conditions remain unclear, limiting our ability to identify the right targets, design the right ...

bringExperience building ML or AI systems in productionHands-on experience with LLMs and agentic AIStrong Python, Rust, C++ or JavaExperience with PyTorch, JAX or TensorFlowExposure to LangGraph, Google ADK or similarStrong understanding of ML fundamentals and model trade-offsExperience with MLOps, multimodal AI or constrained hardware ...

make that hardware serve large AI models at rack scale by building and extending the runtime and serving stack that connects PyTorch and JAX down to the metal. This is a whole-stack systems role. You’ll work where the runtime, the network, and the accelerator meet, partnering closely … cache and memory management, and reliability across distributed failure domains at cluster scale. Fluency at the framework boundary , connecting accelerators to PyTorch/JAX and serving stacks without treating either as opaque. Whole-stack debugging: end-to-end and timeline tracing, workload replay, and reasoning from architectural constraints (SRAM ...

runs. You Might Be a Good Fit If You Have Strong engineering experience in large-scale distributed training or HPC systems. Deep familiarity with JAX internals, distributed training libraries, or custom kernels/fused ops. Experience with multi-node cluster orchestration (Slurm, Ray, Kubernetes, or similar). Comfort debugging … closely with infra, research, and deployment teams. Nice to Have Experience with training LLMs or other large transformer architectures. Contributions to ML frameworks (PyTorch, JAX, DeepSpeed, Megatron, xFormers, etc.). Familiarity with evaluation and serving frameworks (vLLM, TensorRT-LLM, custom KV caches). Experience with data pipeline optimization, sharded ...

systems stack.Build robust systems that ensure reproducible, debuggable, large-scale runs.Qualifications:Strong engineering experience in large-scale distributed training or HPC systems.Deep familiarity with JAX internals, distributed training libraries, or custom kernels/fused ops.Experience with multi-node cluster orchestration (Slurm, Ray, Kubernetes, or similar).Comfort debugging performance issues … following would also be good to have for this role:Experience with training LLMs or other large transformer architectures.Contributions to ML frameworks (PyTorch, JAX, DeepSpeed, Megatron, xFormers, etc.).Familiarity with evaluation and serving frameworks (vLLM, TensorRT-LLM, custom KV caches).Experience with data pipeline optimization, sharded datasets, or caching ...

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 ...

qualifications:3 years of experience working in frontier AI research labs on pre-training or post-training teams.Experience writing TPU/GPU kernels (e.g., JAX, CUDA) to optimize model performance and real-time inference.Experience designing, training, and scaling generative pixel or real-time video architectures.Track record of cross-functional … experience. We do not expect applicants to be experts in all fields simultaneously.Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high ...

Genesis-World works and is used Opinions about API design Bonus: experience with Drake, MuJoCo, Newton, Isaac, RaiSim, Jiminy, or Brax Bonus: PyTorch, Triton, JAX, or Numba Bonus: 3D tooling and interactive editors such as Maya, Blender, or Houdini Bonus: serialization formats such as USD, glTF, MJCF, or URDF … Soft Skills Community Communication Issue Triaging Industry Keywords Simulation Physics Solvers Robotics Interactive Editors 3D Tooling Tools & Technologies CUDA AMD Apple Metal PyTorch Triton JAX Numba Maya Blender Houdini #J-18808-Ljbffr ...

Member of Technical Staff, Training Infrastructure — Inherent (London) At Inherent, we are on a mission to build AI that recursively self‐improves to discover new knowledge. Scientific advances are the backbone of our economic, technological ...