15 of 15 Remote Permanent JAX Jobs

or engineering roles. Strong expertise in Machine Learning and Deep Learning, with exposure to Reinforcement Learning as a plus. Proficiency in Python and modern ML libraries (e.g., TensorFlow, PyTorch, JAX, or Keras). Experience with version control systems (GitHub, GitLab) and knowledge of clean, maintainable coding practices. Familiarity with CI/CD pipelines for automating ML workflows. Ability to thrive More ❯

language processing and computer vision) in industry. Master, PhD degree or equivalent experience in applied mathematics, computer science, bioinformatics or related scientific fields. Proficiency in software engineering (Python, Pytorch, JAX, Docker, Linux). A willingness to learn and develop skills in computational genomics including building an understanding of biological concepts related to cancer. Excellent communication skills in English. Appropriate work More ❯

e.g., NeurIPS, ICML, ICLR, ACL,EMNLP, NAACL, ICLR) with specific focus on agent systems, tool use, or multi-agentcoordination Familiarity with one or more deep learning frameworks (e.g. pytorch, jax, tensorflow, ) Excellent communication skills to report and present research findings anddevelopments clearly, both orally and in writing. Curious and innovative disposition capable of devising novel, well-founded algorithmicsolutions to relevant More ❯

learn, etc.). Comfort working with large and complex datasets, including data wrangling and exploratory analysis. Experience (or strong interest) in GPU-powered model development (e.g. using PyTorch, TensorFlow, JAX, or similar). Demonstrated ability to work independently on real-world projects. Strong communicator, with the ability to share ideas, take feedback, and collaborate effectively. A master’s or PhD More ❯

learn, etc.). Comfort working with large and complex datasets, including data wrangling and exploratory analysis. Experience (or strong interest) in GPU-powered model development (e.g. using PyTorch, TensorFlow, JAX, or similar). Demonstrated ability to work independently on real-world projects. Strong communicator, with the ability to share ideas, take feedback, and collaborate effectively. A master’s or PhD 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 ❯

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 ❯

to quickly pick up new technologies. Experience in Git, Unix. Exposure to 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 ❯

GPU architectures (NVIDIA) - experience with Qualcomm is a must Experience with state-of-the-art performance toolkits, software stacks and profiling tools (Cuda/CuDNN/TensorRT, Jit + Jax) Proficient knowledge of Python, C/C++, PyTorch, TensorFlow, Keras Fundamental knowledge of ARM/x86 assembly Fundamental knowledge about parameter efficient fine-tuning techniques (e.g., LoRA, PEFT) Good written More ❯

we actively support that growth. • Experience shipping real products to customers • ML Design and Deployment: Familiarity with designing, training, optimizing, and deploying machine learning models using frameworks like PyTorch, JAX, LiteRT, HuggingFace Transformers, or commercial APIs. • Containerisation: Experience with cloud deployments and containerisation (Docker, Kubernetes, containerd). • Linux: Embedded Linux and kernel development. • Programming Languages: We adopt a flexible tooling More ❯

facing developer workflows. Experience developing for and on Arm architectures. Experience profiling or debugging ML workloads. Experience designing, training, optimizing, and deploying machine learning models using frameworks like PyTorch, JAX, LiteRT or HuggingFace Transformers. Experience collaborating closely with product or design teams. In Return: Our team offers an inclusive and highly collaborative environment, with work that spans a wide variety More ❯

Research Engineer, Machine Learning (Horizons) London, UK About Anthropic Anthropics 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 is 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 ❯

The world will be unrecognisable in 5 years. Machine learning models are driving our cars , testing our eyesight , detecting our cancer , giving sight to the blind , giving speech to the mute , and dictating what we consume, enjoy, and think . More ❯

The world will be unrecognisable in 5 years. Machine learning models are driving our cars , testing our eyesight , detecting our cancer , giving sight to the blind , giving speech to the mute , and dictating what we consume, enjoy, and think . More ❯