1 to 25 of 38 Google JAX Jobs

at the forefront of innovation. With strategic offices in major cities worldwide, including London, Paris, Berlin, Tunis, Kigali, Cape Town, Boston, and San Francisco, InstaDeep collaborates with giants like Google DeepMind and prestigious educational institutions like MIT, Stanford, Oxford, UCL, and Imperial College London. We are a Google Cloud Partner and a select NVIDIA Elite Service Delivery Partner. … 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 More ❯

Python, R, C, C++, or Java, and their associated security considerations. * Previous experience with ML, LLM, deep learning and data manipulation techniques, libraries, and frameworks such as TensorFlow, PyTorch, Jax, and scikit-learn is desirable. * Experience in implementing secure coding practices, DevOps, CI/CD pipelines and familiarity with secure software development life cycle (SDLC) methodologies. * Strong understanding of More ❯

Python, R, C, C++, or Java, and their associated security considerations. • Previous experience with ML, LLM, deep learning and data manipulation techniques, libraries, and frameworks such as TensorFlow, PyTorch, Jax, and scikit-learn is desirable. • Experience in implementing secure coding practices, DevOps, CI/CD pipelines and familiarity with secure software development life cycle (SDLC) methodologies. • Strong understanding of More ❯

Python, R, C, C++, or Java, and their associated security considerations. * Previous experience with ML, LLM, deep learning and data manipulation techniques, libraries, and frameworks such as TensorFlow, PyTorch, Jax, and scikit-learn is desirable. * Experience in implementing secure coding practices, DevOps, CI/CD pipelines and familiarity with secure software development life cycle (SDLC) methodologies. * Strong understanding of More ❯

As a Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. Working closely with the Software development and Research teams, you More ❯

inference, causal reasoning & inference, transfer & multi-task learning, diffusion models, graph neural networks, active learning; Experience writing production-quality code with modern machine learning frameworks such as PyTorch, TensorFlow, JAX, or similar; Experience with multi-GPU and distributed training at scale; A team player who thrives in collaborative environments and is committed to enabling colleagues to reach their full … physics, or computational biology, or equivalent experience; Experience in developing machine learning models; Very strong programming skills, including experience with Python and deep learning libraries such as PyTorch or JAX; Experience in large-scale distributed optimization of machine learning models across multiple GPUs and nodes. Preferred Qualifications - Familiarity with biological data formats, concepts, and computational models; Experience in cell More ❯

the industry today. - 3+ years of relevant working experience - Experience with machine learning fundamentals, with working knowledge of Python and experience with deep learning frameworks such as Pytorch, TensorFlow, JAX or MXNet - 3+ years of relevant experience in developing and deploying large scale machine learning or deep learning models and/or systems into production, including batch and real More ❯

As a Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. Working closely with the Software development and Research teams, you More ❯

As a Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. Working closely with the Software development and Research teams, you 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 … file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf (Optional) Personal Preferences How do you pronounce your name? Website Publications (e.g. Google Scholar) URL Other Useful URLs (e.g. Blog Posts) Are you open to working in-person in one of our offices 25% of the time? Select Of the locations listed More ❯

About Us Deep Genomics is at the forefront of using artificial intelligence to transform drug discovery. Our proprietary AI platform decodes the complexity of genome biology to identify novel drug targets, mechanisms, and genetic medicines inaccessible through traditional methods. With More ❯

and deploying production-ready solutions) Familiarity in statistical methods for Machine Learning (e.g. Bayesian methods, HMMs, graphical models, dimension reduction, clustering, classification, regression techniques, etc.) Familiarity with PyTorch, TensorFlow, JAX or similar frameworks Strong coding abilities in Python Preferred Qualifications Experience in the Architecture, Engineering, and/or Construction domains, including expertise with industry-specific data formats (e.g., BIM More ❯

Permanent Role Location : Cambridge Hybrid Policy: 3 days onsite and 2 days working from home weekly Role and Responsibilities As anAI Research Scientist, you will be part of a dynamic team working on next-generation machine learning technologies for real More ❯

Job Summary As a researcher at Graphcore, you will contribute to the advancement of AI research, investigating new ideas that push the limits on important AI/ML problems. Specialised hardware has been the key driver of the progress of More ❯

Job Summary As a researcher at Graphcore, you will contribute to the advancement of AI research, investigating new ideas that push the limits on important AI/ML problems. Specialised hardware has been the key driver of the progress of More ❯

problems. (Desirable) Experience designing and conducting experiments in a social science or human-computer interaction (HCI) context. Strong proficiency in Python and common ML libraries/frameworks (e.g., PyTorch, JAX, TensorFlow, Hugging Face). (Desirable) A track record of publications in relevant AI or interdisciplinary conferences. A strong scientific mindset geared towards rigorous experimentation, coupled with the engineering discipline More ❯

self-motivated and independent worker. Strong English writing and verbal communication skills. Preferred Skills Proficiency in Python. Expertise in one of the standard machine learning frameworks, such as PyTorch, JAX, or TensorFlow. Broad knowledge of and practical experience with modern machine learning and optimization techniques. Excellent analytical, numerical, and modeling skills. Broad knowledge of photonics and general physics. Familiarity More ❯

language modeling architectures (e.g. transformers, SSMs) Solid development skills in Python and/or C++ Familiarity with ML libraries/frameworks such as PyTorch (preferred), TensorFlow, and/or JAX Intellectual curiosity, versatility, and originality combined with a pragmatic outlook Ability to reason through quantitative problems and communicate effectively with trading researchers Reliable and predictable availability Bonus Points Experience More ❯

and requirements for an end-to-end stack; Experience MS, or higher degree, in a related field, or equivalent industry experience Professional experience with ML frameworks such as PyTorch, Jax or Tensorflow (PyTorch preferred) Experience with data sampling and data curation pipelines for autonomous driving datasets Experience in state-of-the-art architectures for end-to-end autonomous driving 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 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 ❯

a compiler extensible to future optimisation patterns such as op fusion, layout optimisation, tiling, and scheduling. Debugger & Diagnostics Implement optional runtime assertions, compile-time dump mechanisms, TensorBoard timelines, and JAX I/O callback support. Functional Simulator Develop a simulator that mimics our kernel-space driver, enabling the software team to lower operations ahead of hardware availability. Required Skills … Experience 5+ years of professional experience in C/C++ software engineering Strong background in compilers , runtime systems , and low-level optimisations Deep familiarity with ML frameworks (e.g., PyTorch, JAX, TensorFlow) and their execution models Experience with high-performance computing or hardware-software co-design Strong problem-solving skills with a creative and pragmatic mindset Comfortable operating in fast More ❯

or a related field, plus 3+ years of relevant experience. Demonstrated expertise applying deep learning to omics data at scale. Proficiency in Python and modern deep learning frameworks (PyTorch, JAX, or similar). Experience designing and operating data pipelines for genomics, transcriptomics, proteomics, or metabolomics. Solid grasp of causal inference, experimental design, and statistics. Familiarity with software engineering best More ❯

on distributed training infrastructures. Familiarity with evaluating and improving the generalizability and robustness of ML systems. Proficiency in programming languages such as Python and ML frameworks (e.g., PyTorch, TensorFlow, JAX). Excellent communication skills to collaborate effectively with cross-functional teams and present findings. One or more papers at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys More ❯

At UnlikelyAI, we're looking for a Senior Applied Scientist to join our Applied Science team. This is a high-impact individual contributor position. You'll help drive the end-to-end lifecycle of projects: from identifying opportunities in literature More ❯