26 to 50 of 58 Remote JAX Jobs

/EE or related research experience in academia or industry We will consider various levels of experience in relevant research areas Key Skills: Experience with ML frameworks (PyTorch, TensorFlow, JAX) and efficient ML (incl. quantization, pruning, sparsification, distillation, etc.) Experience with deployment on embedded/mobile devices (such as smartphones, with mobile CPU, GPU, NPU) Experience with distributed and multi More ❯

may be a good fit if you: Have 5+ years of industry-related experience Are proficient in Python and have experience with deep learning frameworks such as PyTorch or Jax Have a strong software engineering background and are interested in working closely with researchers and other engineers Enjoy pair programming (we love to pair!) Care about code quality, testing, and More ❯

/EE or related research experience in academia or industry We will consider various levels of experience in relevant research areas Key Skills: Experience with ML frameworks (PyTorch, TensorFlow, JAX) and efficient ML (incl. quantization, pruning, sparsification, distillation, etc.) Experience with deployment on embedded/mobile devices (such as smartphones, with mobile CPU, GPU, NPU) Experience with distributed and multi More ❯

Science, Engineering, or a related field • 5+ years of experience deploying AI/ML models in production settings • Proficient in Python, C++, and deep learning frameworks like PyTorch or Jax • Skilled in distributed training (e.g., DDP, FSDP) and model performance optimization • Experience with GPU architectures, cloud platforms, and hardware tradeoffs • Familiarity with low-level hardware tuning and custom CUDA kernel More ❯

existing products with the latest machine learning advancements. Requirements include strong programming skills in Python, C, C++, experience with deployment platforms, and familiarity with NLP, computer vision, TensorFlow, PyTorch, JAX, CUDA, LLMs, and related technologies. A degree in a relevant field and a solid AI R&D track record are essential. More ❯

field (or equivalent practical experience). Hands-on experience training and deploying learned policies for complex behaviors in robots or simulated characters. Fluency with modern ML toolchains (PyTorch/JAX, RL or behavior-cloning libraries, agentic frameworks, MCP, distributed training workflows). Solid software-engineering fundamentals - tested, documented, maintainable Python & C++. Demonstrated ability to debug integrated hardware-software systems. Preferred More ❯

field (or equivalent practical experience). Hands-on experience training and deploying learned policies for complex behaviors in robots or simulated characters. Fluency with modern ML toolchains (PyTorch/JAX, RL or behavior-cloning libraries, agentic frameworks, MCP, distributed training workflows). Solid software-engineering fundamentals - tested, documented, maintainable Python & C++. Demonstrated ability to debug integrated hardware-software systems. Preferred More ❯

field (or equivalent practical experience). Hands-on experience training and deploying learned policies for complex behaviors in robots or simulated characters. Fluency with modern ML toolchains (PyTorch/JAX, RL or behavior-cloning libraries, agentic frameworks, MCP, distributed training workflows). Solid software-engineering fundamentals - tested, documented, maintainable Python & C++. Demonstrated ability to debug integrated hardware-software systems. Preferred More ❯

field (or equivalent practical experience). Hands-on experience training and deploying learned policies for complex behaviors in robots or simulated characters. Fluency with modern ML toolchains (PyTorch/JAX, RL or behavior-cloning libraries, agentic frameworks, MCP, distributed training workflows). Solid software-engineering fundamentals - tested, documented, maintainable Python & C++. Demonstrated ability to debug integrated hardware-software systems. Preferred More ❯

and ability to quickly pick up new technologies. Exposure to Git, Unix, SQL, or any high-performance computing language is a plus but not required. Exposure to PyTorch/Jax is a plus but not required Our benefits To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed More ❯

Research Engineer, Machine Learning (Horizons) London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team More ❯

Machine Learning Scientists/Engineers, Cambridge, UK Astex Pharmaceuticals is a global leader in innovative drug discovery, utilizing its proprietary Fragment-Based Drug Discovery platform to develop new drug candidates, with several progressing in clinical trials. The company focuses on More ❯

You may be a good fit if you: Have 5+ years of industry-related experience Are proficient in Python and experienced with deep learning frameworks such as PyTorch or Jax Possess a strong software engineering background and enjoy working closely with researchers and engineers Enjoy pair programming Care about code quality, testing, and performance Are passionate about AI's potential More ❯

related field. Demonstrated success shipping LLM-based products (GPT, Llama, Mistral, or similar) or conversational AI systems into production. Deep knowledge of modern ML/NLP frameworks (PyTorch, TensorFlow, JAX) and orchestration stacks (LangChain, LlamaIndex, vector databases). Proven track record driving AI governance, model risk management, and compliance within regulated sectors (healthcare, med-tech, pharma, fintech, etc.). Strong More ❯

related field. Demonstrated success shipping LLM-based products (GPT, Llama, Mistral, or similar) or conversational AI systems into production. Deep knowledge of modern ML/NLP frameworks (PyTorch, TensorFlow, JAX) and orchestration stacks (LangChain, LlamaIndex, vector databases). Proven track record driving AI governance, model risk management, and compliance within regulated sectors (healthcare, med-tech, pharma, fintech, etc.). Strong More ❯

related field. Demonstrated success shipping LLM-based products (GPT, Llama, Mistral, or similar) or conversational AI systems into production. Deep knowledge of modern ML/NLP frameworks (PyTorch, TensorFlow, JAX) and orchestration stacks (LangChain, LlamaIndex, vector databases). Proven track record driving AI governance, model risk management, and compliance within regulated sectors (healthcare, med-tech, pharma, fintech, etc.). Strong More ❯

related field. Demonstrated success shipping LLM-based products (GPT, Llama, Mistral, or similar) or conversational AI systems into production. Deep knowledge of modern ML/NLP frameworks (PyTorch, TensorFlow, JAX) and orchestration stacks (LangChain, LlamaIndex, vector databases). Proven track record driving AI governance, model risk management, and compliance within regulated sectors (healthcare, med-tech, pharma, fintech, etc.). Strong More ❯

related field. Demonstrated success shipping LLM-based products (GPT, Llama, Mistral, or similar) or conversational AI systems into production. Deep knowledge of modern ML/NLP frameworks (PyTorch, TensorFlow, JAX) and orchestration stacks (LangChain, LlamaIndex, vector databases). Proven track record driving AI governance, model risk management, and compliance within regulated sectors (healthcare, med-tech, pharma, fintech, etc.). Strong More ❯

all trades” in MLSys. Skills and Qualifications MS or PhD in CS/EE or equivalent experience in the industry, with key skills: Experience with ML frameworks (PyTorch, TensorFlow, JAX) and efficient ML (incl. quantisation, pruning, sparsification, etc.) Experience with deployment on embedded and mobile devices (ML inference and/or training) Experience with distributed and multi-GPU training at More ❯

tools, and hardware optimisation techniques Experience with distributed training frameworks (Ray, Dask, PyTorch Lightning, etc.) Expertise with Python and/or C/C++ Development with machine learning frameworks (JAX, Tensorflow, PyTorch etc.) Passion for profiling, identifying bottlenecks, and delivering efficient solutions. Highly Desirable Track record of successfully scaling ML models. Experience writing custom CUDA kernels or XLA operations. Understanding More ❯

Relevant research experience to the position such as post doctoral roles, a proven track record of publications, or contributions to machine learning codebases. Experience using ML frameworks such as JAX, PyTorch, or TensorFlow, and scientific software such as NumPy, SciPy, or Pandas Strong knowledge of linear algebra, calculus and statistics Experience working in a scientific environment across disciplines (particularly biology More ❯

such as quantisation, pruning, and distillation to improve performance. Contribute to deployment, testing, and continuous model improvement. Requirements: Strong experience building and deploying ML models using PyTorch or TensorFlow; JAX is a plus. Solid background in NLP, computer vision and/or speech processing. Knowledge of model optimisation and performance tuning. Familiarity with distributed or edge AI environments. Passion for More ❯

systems (AI) & reinforcement learning) Comfort collaborating across functions, especially with engineering, hardware, and system design teams Solid programming and prototyping skills using modern deep learning frameworks (e.g. PyTorch, TensorFlow, JAX) Location: London (hybrid, with 4 days onsite and flexible hours) This is a high-impact role for someone who thrives on building ambitious technology in a fast-paced environment—ideal More ❯

Life at UiPath The people at UiPath believe in the transformative power of automation to change how the world works. We're committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people More ❯

systems (AI) & reinforcement learning) Comfort collaborating across functions, especially with engineering, hardware, and system design teams Solid programming and prototyping skills using modern deep learning frameworks (e.g. PyTorch, TensorFlow, JAX) Location: London (hybrid, with 4 days onsite and flexible hours) This is a high-impact role for someone who thrives on building ambitious technology in a fast-paced environment—ideal More ❯