26 to 50 of 78 Google JAX Jobs

expertise. Creative thinkers who are driven, self-motivated, and eager to solve challenging problems Proficiency in Python and/or C++ Proficiency in Pytorch, JAX, Tensorflow or other DL library. Ability to thrive in a collaborative, team-oriented environment Expertise in GPU or Accelerator programming (CUDA, Triton, SYCL, ROCm ...

. Experience limited to API usage or prompt engineering is not sufficient. Experience building large‐scale data pipelines and distributed training systems using PyTorch, JAX, or equivalent frameworks. Deep knowledge of large‐model training and evaluation: optimization, parallelism, mixed precision, checkpointing, experiment design, ablations, and benchmarking. Evidence of research ...

models, including tabular foundation models. No prior familiarity with finance or financial use cases required. Preference for candidates who include a link to their Google Scholar or Semantic Scholar profile in their resume. J.P. Morgan is a global leader in financial services, providing strategic advice and products ...

Python development experience for high-performance, data-intensive applications Experience with Machine Learning/Deep Learning Strong hands-on experience with PyTorch, TensorFlow, or JAX Experience with Pandas and statistical model evaluation Production ML model deployment, monitoring, and maintenance Experience with LLMs, Recommender Systems, or Operations Research Experience working ...

engineers through technical leadership, code reviews and best practices. Building systems that balance performance, latency, reliability and scalability. Technology Python PyTorch and/or JAX GPU-based model training and inference Modern machine learning infrastructure What We're Looking For Commercial experience building and deploying machine learning models into ...

creative teams to turn ML capabilities into compelling experiences What We’re Looking For: Strong knowledge of Python Experience writing models in PyTorch or JAX A good understanding of how large language models work Comfortable working along the whole ML pipeline: from data preparation to model design, training ...

training RL agents and iterating on reward design, with strong intuitions for what works and why Proficiency in Python and ML frameworks (PyTorch or JAX) with the ability to implement and run experiments independently Track record of research output: publications, open-source contributions, or impactful technical projects Willingness ...

ease of use Expertise wrangling an ML framework – we're fans of PyTorch, but we'd also love to learn what you know about Jax, TensorFlow or others An inventive approach and the willingness to ask hard questions about whether we're taking the right approaches and using ...

systems (bonus for low-resource languages). Deep knowledge of at least one neural TTS architecture and related vocoders. Proficiency with PyTorch, TensorFlow, or JAX for building and training models. Experience with audio processing tools (e.g., librosa, Praat, torchaudio). Linguistic & Cultural Sensitivity Experience working with multilingual ...

About You Strong Python engineering skills and experience working in large codebases (testing, code review, CI, operational ownership). Hands‐on experience with PyTorch, JAX, or similar. Strong systems and infrastructure fundamentals. Experience with LLM training or post‐training: fine‐tuning, RL, distillation, evaluation, and/or data pipelines. ...

Succeed Experience building, training, adapting, or evaluating machine learning models. Strong software engineering skills in Python and modern ML frameworks such as PyTorch, JAX, or TensorFlow. Experience designing experiments, evaluation metrics, or test sets for model performance. Ability to debug model behavior using data, traces, logs, and qualitative feedback. ...

production, including model design, tooling, and infrastructure development. Ideal applicants have a strong ML background, publications, and experience with PyTorch/TensorFlow/JAX, as well as Python/C++. The role offers on-site work in London with visa sponsorship for international candidates. #J-18808-Ljbffr ...

solid production track record Proficient in Python and at least one systems language - Rust, C++, or Go Hands-on experience with PyTorch or JAX in an industry setting Experience with inference frameworks: vLLM, SGLang, TensorRT-LLM Solid distributed systems fundamentals and experience operating production ML infrastructure Working knowledge ...

bitwidth numerics. You will also be expected to assist in the design of novel hardware architectures for accelerating our models, mapping AI models from JAX graphs to transistors. Attributes You will be an experienced software engineer, likely in C/C++/Rust or a similar language. You will ...

bitwidth numerics. You will also be expected to assist in the design of novel hardware architectures for accelerating our models, mapping AI models from JAX graphs to transistors. Attributes You will be an experienced software engineer, likely in C/C++/Rust or a similar language. You will ...

generative models — architecture, training, and inference. Experience with deep learning infrastructure: streaming datasets, checkpointing & state management, distributed training strategies. Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code. Familiarity with modern software engineering practices. You document experiments clearly and communicate trade‐offs ...

training, post-training, inference, and emerging AI workloads.* Practical understanding of GPU platforms and AI software libraries, including CUDA, CUDA-X, NCCL, PyTorch or JAX, and relevant training or inference systems.* Experience with large-scale GPU clusters, high-speed networking, distributed storage, workload orchestration, performance optimization, and cloud ...

compiler, workflow engine, distributed training system, database, debugger, or orchestration platform Meaningful contributions to systems such as Ray, Temporal, Kafka, Erlang/BEAM, PyTorch, JAX, TensorFlow, or comparable projects Strong API design judgement, open-source collaboration, and disciplined approaches to testing, versioning, compatibility, and reproducibility Experience in ML systems ...

experience with other robotics simulators (Drake, MuJoCo, Newton, Isaac, RaiSim, Jiminy, Brax). PyTorch, our user-facing interface. Other JIT compilers such as Triton, JAX, or Numba. 3D tooling and interactive editors (Maya, Blender, Houdini). Serialization formats (USD, glTF, MJCF/URDF). C++, CUDA, or Metal. Developer ...

research direction with strong execution, and experience mentoring others on a fast‐moving, applied research team. Strong coding and experimentation skills (Python, PyTorch/JAX/Tensorflow), and the ability to communicate clearly and align research with product and engineering priorities. Nice to have Demonstrated experience fine‐tuning ...

Build large-scale, observable ML systems. Work with C, C++, Python, CUDA, and other low-level GPU technologies. Python and/or C++. PyTorch, JAX, TensorFlow, or another deep-learning library. GPU programming with CUDA, Triton, SYCL, ROCm, or similar tools. Large-scale ML systems, including very large training ...

models — architecture, training, and inference. Experience solving real problems using reinforcement learning with deep neural networks in any domain. Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code. You are self‐driven, pro‐active, communicate efficiently, document experiments clearly and communicate trade ...

C++ or Java A strong background in the mathematical foundations of core ML algorithms, paired with hands‐on experience using deep learning frameworks (PyTorch, JAX, TensorFlow), agentic orchestration ecosystems (LangGraph, Google ADK), and Model Context Protocol tooling (RustMCP) Strong written and verbal communication skills to document your work ...

integrating ML systems into production while staying grounded in product impact and real‐world quality. Strong coding and experimentation skills (Python, PyTorch/JAX/Tensorflow), and the ability to communicate clearly and align research with product and engineering priorities. Ability to lead complex research efforts, to communicate clearly ...

models, fighting deep learning compilers). Excellent understanding of GPU architecture and why some models run faster than others. Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code. You document experiments clearly and communicate trade‐offs crisply. Nice to have: Robotics ...