101 to 125 of 125 JAX Jobs

decisions Breadth across model architectures — transformers, diffusion, Mamba and others; the field hasn't converged and curiosity matters Fluency in Python and PyTorch or JAX Systems-level thinking: reasons from first principles, not from defaults Fully fluent in English — written and verbal, hard requirement Must be based in Europe, ideally ...

hackajob is partnering directly with BlackRock to hire for this role. About this role AI Labs Overview For more than three decades, BlackRock has combined world-class talent and technology to redefine what's possible ...

Req ID:365825NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.We are ...

About WRITER WRITER is where the world’s leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we’re proving it is possible – through powerful, trustworthy AI that ...

statistics, machine learning or equivalent practical experience.Experience with training generative models (Large Language Model (LLM), image, video).Experience of TensorFlow or ML frameworks (e.g. JAX or PyTorch).Experience conducting research.Publication record in AI conferences (e.g., NeurIPS, CVPR, ICCV, ICLR).Preferred qualifications:Experience with large-scale data pipelines.Experience with training large … statistics, machine learning or equivalent practical experience.Experience with training generative models (Large Language Model (LLM), image, video).Experience of TensorFlow or ML frameworks (e.g. JAX or PyTorch).Experience conducting research.Publication record in AI conferences (e.g., NeurIPS, CVPR, ICCV, ICLR). ...

Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch and JAX enabling unparalleled ML inference and training performance. The Inference Enablement and Acceleration team is at the forefront of running a wide range of models … Experience optimizing inference performance for both latency and throughput on such large models across the stack from system level optimizations through to Pytorch or JAX is a must have. You can learn more about Neuron Key job responsibilities This role will help lead the efforts in building distributed inference support ...

problem-solving skills with the ability to work independently and collaboratively. Clear written and verbal communication skills. Familiarity with deep learning frameworks (TensorFlow, PyTorch, JAX) advantageous. Experience with optimisation, reinforcement learning, or LLMs a plus. Exposure to chip design or applied AI research desirable. Keywords: Research Engineer/Machine Learning …/AI/LLMs/Reinforcement Learning/Generative Models/Deep Learning/PyTorch/TensorFlow/JAX/Python/C++/Semiconductor/Chip Design/Optimisation/London/Cambourne/UK/Permanent If you are interested in this Research Engineer position, please send ...

scale.Minimum qualifications:Master's degree in computer science, mathematics, applied statistics, machine learning or equivalent practical experience.Experience of TensorFlow or ML frameworks (e.g. JAX or PyTorch).Experience working in industry, working on projects from proof-of-concept through to implementation.Experience with training diffusion models.Experience conducting applied research.Preferred qualifications:Experience … London, UK; Zürich, Switzerland.Master's degree in computer science, mathematics, applied statistics, machine learning or equivalent practical experience.Experience of TensorFlow or ML frameworks (e.g. JAX or PyTorch).Experience working in industry, working on projects from proof-of-concept through to implementation.Experience with training diffusion models.Experience conducting applied research. ...

this for the Neuron based system is key. Key job responsibilities You will lead efforts to build distributed training support into PyTorch and JAX using XLA, the Neuron compiler, and runtime stacks. You will optimize models to achieve peak performance and maximize efficiency on AWS custom silicon, including Trainium … natural language processing PREFERRED QUALIFICATIONS - Master's degree in computer science or equivalent - Experience in computer architecture - Previous software engineering expertise with Pytorch/Jax/Tensorflow, Distributed libraries and Frameworks, End-to-end Model Training. Amazon is an equal opportunity employer and does not discriminate on the basis ...

AI Research Engineer (PhD) MITO AI · United Kingdom (Remote) · Open to Europe AI Research Engineer (PhD) — Generative & Multimodal AI for Creative Production Location: Remote (UK) — open to Europe, especially Madrid | Experience Level: Mid-Senior (PhD ...

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 50/50 rather … 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 research ...

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 AI research … 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. ...

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 attention … 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 ...

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 ...

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 ...

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 ...

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. ...

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 ...

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 ...

CoreWeave is The Essential Cloud for AITM. 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 ...

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 ...