101 to 110 of 110 JAX Jobs in London

Responsibilities Advance applied research across the LLM stack, including model training, adaptation, inference, and agentic systems. Design, build, and release foundation-model and agentic systems that support high-value business workflows from prototype to production. ...

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 ...

Join us to push the boundaries of AI and contribute to groundbreaking discoveries in a collaborative, fast-paced environment. You'll have the opportunity to advance your career by working with the Global Technology Applied ...

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 with … 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, host ...

training, adapting, or evaluating large-scale foundation models, and building data pipelines for heterogeneous datasets.3 years of experience with modern machine learning frameworks (e.g., JAX, PyTorch, TensorFlow) and distributed training on accelerators.3 years of experience designing evaluations, metrics, and controlled ablations for research projects.Preferred qualifications:Master's degree … training, adapting, or evaluating large-scale foundation models, and building data pipelines for heterogeneous datasets.3 years of experience with modern machine learning frameworks (e.g., JAX, PyTorch, TensorFlow) and distributed training on accelerators.3 years of experience designing evaluations, metrics, and controlled ablations for research projects. ...

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 performance … 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 datasets ...

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 across … 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 strategies.Background ...

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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 Bonus … 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 ...