1 to 25 of 102 Google JAX Jobs

transformers, SSMs) Solid development skills in Python and/or C++ Familiarity with ML libraries/frameworks such as PyTorch, TensorFlow, and/or JAX Intellectual curiosity, versatility, and originality combined with a pragmatic outlook Ability to thrive in a collaborative, team-oriented environment Ability to reason through quantitative ...

track record of building and maintaining production‐quality systems. Expert‐level Python experience with numerical, statistical, or ML libraries (e.g. NumPy, pandas, PyTorch, JAX, TensorFlow). Deep understanding of statistical modelling, optimisation, or machine‐learning techniques. Experience building and operating backend systems and data pipelines in a cloud environment ...

applied mathematics Production experience building agentic AI/LLM-based systems Strong programming ability in Python, Rust, C++ or Java Experience with PyTorch, JAX, TensorFlow or agent orchestration frameworks Excellent engineering judgement and the ability to turn research into robust, production-ready AI A genuine interest in solving difficult ...

modern deep learning and LLM architectures, and of what makes them expensive to run (attention, KV caching, autoregressive decoding) Strong Python and PyTorch/JAX experience, with hands-on experience profiling and optimising model performance on GPUs, accelerators or CPUs Strong foundations in several of: linear algebra, probability, optimisation ...

track record of building and maintaining production‐quality systems. Expert‐level Python experience with numerical, statistical, or ML libraries (e.g. NumPy, pandas, PyTorch, JAX, TensorFlow). Deep understanding of statistical modelling, optimisation, or machine‐learning techniques. Experience building and operating backend systems and data pipelines in a cloud environment ...

versioning, testing, CI/CD, API design, MLOps) Experience building ML models and pipelines in Python, using common libraries and frameworks (e.g., PyTorch, TensorFlow, JAX) Experience with the GPU programming ecosystem, ability to optimise models on all levels of the stack, going down to the level of CUDA/ ...

. OR equivalent work experience delivering state‐of‐the‐art AI/ML solutions. Experience with at least one major deep learning framework (PyTorch, JAX, TensorFlow). Familiarity with machine learning literature and state‐of‐the‐art approaches. Experience developing and delivering robust software solutions, including demonstrated advanced programming ...

quality, well-tested and reproducible technical work you have delivered yourself. Strong Python skills, including proficiency with modern deep learning frameworks (e.g., PyTorch, TensorFlow, JAX, Hugging Face), and working knowledge of SQL for querying data. Hands‐on experience applying machine learning and NLP, including large language models, to real ...

reproducible and reliable. You have experience down to the level of CUDA kernels or XLA. You have contributed to open source projects like PyTorch, JAX, MLX or similar. You care about research outcomes as much as system uptime. You form opinions about what experiments ...

field. The best research engineers bring that intuition to system design decisions. Contributions to open-source ML frameworks or research codebases, such as PyTorch, JAX, or MLX. Experience with biological data: genomic sequences, protein structures, molecular data, or similar. Familiarity with our broader tech stack: Kubernetes, Dagster, or similar ...

others); OR equivalent work experience delivering state-of-the-art AI/ML solutions. Experience with at least one major deep learning framework (PyTorch, JAX, TensorFlow). Familiarity with machine learning literature and state-of-the-art approaches. Experience developing and delivering robust software solutions, including demonstrated advanced programming ...

have been instrumental in: building machine learning models and pipelines in Python, using common libraries and frameworks (PyTorch/CUDA, ideally with exposure to JAX, NumPy/SciPy), especially including deep learning applications; developing models for bespoke problem settings that involve high-dimensional data (spatiotemporal, geometric, physical); iterating ...

field Strong foundations in several of: linear algebra, probability, optimisation, dynamical systems, numerical methods, information theory or statistical learning Strong Python and PyTorch (or JAX) experience, with a solid understanding of transformers and LLM architectures Rigorous experimental mindset, with the ability to move between mathematical reasoning, experimentation and implementation ...

Practical experience with causal inference, experimental design, hypothesis testing or statistical analysis. Strong Python programming skills and familiarity with ML frameworks such as PyTorch, JAX or scikit-learn. Experience working with complex datasets, time-series data or dynamic systems. Strong analytical and problem-solving skills, with the ability ...

professional software engineering experience with meaningful work on ML inference or high-performance systems.* Familiarity with at least one deep learning framework (PyTorch, JAX, TensorFlow).* Understanding of GPU architectures (memory hierarchy, warp scheduling, tensor cores).* Understanding of common LLM architectures and inference optimization techniques (e.g. quantization, speculative ...

online model‐execution, inference or simulation services, including containerised execution and job orchestration. Desirable Hands‐on knowledge of machine‐learning frameworks such as PyTorch, JAX or TensorFlow and model training, inference and/or model‐serving workflows. Desirable Knowledge of scientific modelling/simulation frameworks, numerical computing or systems ...

Specialist Knowledge & Skills Requirement Importance Strong knowledge of modern machine learning and deep learning. Essential Excellent Python programming skills and practical experience with PyTorch, JAX, TensorFlow or an equivalent modern ML framework. Essential Knowledge and practical experience of generative modelling, representation learning, multimodal learning or related modern AI approaches. ...

machine learning models for time-series or sensor data Strong programming skills in Python Experience with machine learning frameworks such as PyTorch, TensorFlow, or JAX Experience building data pipelines and training workflows Ability to work with imperfect, noisy, or incomplete datasets Nice to Have Experience with physiological signal processing ...

scale. Essentials MSc or PhD in Machine Learning, Computer Science, Applied Math, or similar. Strong Python programming skills, with deep knowledge of PyTorch, JAX, or TensorFlow. Hands-on experience building and scaling ML pipelines in real-world settings. Comfort with MLOps tools and practices (e.g. Weights & Biases, Ray, Docker ...

Solid grounding in machine learning/deep-learning fundamentals — you can build, train, and debug neural networks from scratch in a modern framework (PyTorch, JAX, or similar). Demonstrable hands-on experience: research projects, publications, internships, open-source, or production work. Comfortable reading ML papers and reimplementing them. ...

concept through evaluation. Desirable Skills & Experience Experience training, fine-tuning or optimising foundation models. Experience with large-scale distributed training and experimentation. Experience with JAX, CUDA or other high-performance ML tooling. Publications at leading machine learning conferences or journals. Contributions to open-source machine learning or reinforcement learning ...

engineering: kernel/network tuning, lock-free programming, hardware-aware optimization, or FPGA-adjacent systems. Experience with ML/data tooling such as PyTorch, JAX, CUDA, GPU clusters, Ray, Kafka, Kubernetes, Spark, or comparable technologies. Understanding of market microstructure, backtesting pitfalls, transaction costs, and the operational needs of live ...

structured or sparse layers. Hands-on experience pretraining transformer language models from scratch, including careful ablations at matched compute. Strong PyTorch (or deep JAX experience and willingness to work in PyTorch), including multi-GPU training. A working understanding of LLM inference costs, such as KV cache, memory bandwidth ...

equivalent research outputs. You will have strong Python programming skills, including experience with modern AI or deep learning tools such as PyTorch, TensorFlow or JAX and scientific Python tools such as NumPy, pandas or xarray. You will be able to work effectively both independently and as part ...

C++ Experience working with Linux operating systems and the ability to learn new technologies quickly Exposure to machine learning frameworks such as PyTorch, JAX, Triton or TensorFlow, test automation, CI/CD, data analytics, hardware architectures or compilers would be useful. Experience with distributed workload management systems or machine ...