51 to 75 of 125 JAX Jobs

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 production. ...

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 and evaluation ...

team and culture The Frameworks team connects Graphcore hardware with the tools ML engineers and researchers rely on. We work across PyTorch, Triton, JAX and TensorFlow, focusing on usability and performance. Work happens through agile practices, close technical discussion and clear ownership. Engineers are trusted to speak up, solve hard ...

optimizing model serving infrastructure or inference backends. Preferred qualifications: Experience with developing serving infrastructure. Experience programming hardware accelerators (GPUs, TPUs) via ML frameworks (e.g., JAX, PyTorch) or low-level programming models (e.g., Pallas, CUDA, OpenCL). Experience profiling software to identify performance bottlenecks. Experience with distributed ML systems optimization ...

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. Excellent ...

Neuron team is developing a deep learning compiler stack that takes neural network descriptions created in frameworks such as TensorFlow, PyTorch, and Jax, and converts them into code suitable for execution. As a Senior SDE, you will be responsible for identifying and designing solutions that enable efficient and reliable build ...

adapting, or evaluating large-scale foundation models, and building data pipelines for heterogeneous datasets. 3 years of experience with modern machine learning frameworks (e.g., JAX, PyTorch, TensorFlow) and distributed training on accelerators. 3 years of experience designing evaluations, metrics, and controlled ablations for research projects. Preferred qualifications: Master's degree ...

refine existing products.Prior experience in working cross-discipline in matrixed organizations. Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR.Experience using large-scale distributed training and inference.Strong mentorship, communication, and problem-solving skills.A demonstrated passion for applied ML models and products.Bonus: experience ...

refine existing products. Prior experience in working cross-discipline in matrixed organizations. Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR.Experience using large-scale distributed training and inference. Strong mentorship, communication, and problem-solving skills. A demonstrated passion for applied ML models ...

high agency and low egoStrong candidates may also haveExperience with large-scale distributed training (RL, pre-training, or post-training)Familiarity with JAX, PyTorch, or similar ML frameworksA track record of operating at the edge of research and infra in a fast-moving environmentDeadline to apply: None. Applications will ...

learning techniques, including designing new architectures, hands-on experimentation, analysis, and visualisation.Strong knowledge of linear algebra, calculus and statistics.Experience using ML frameworks such as JAX, PyTorch, or TensorFlow, and scientific software such as NumPy, SciPy, or Pandas.A passion for applying ML research to real world problems.Depending on your experience: project ...

including designing new architectures, hands-on experimentation, analysis, and visualisation. Strong knowledge of linear algebra, calculus and statistics. Experience using ML frameworks such as JAX, PyTorch, or TensorFlow, and scientific software such as NumPy, SciPy, or Pandas. A passion for applying ML research to real world problems. Depending on your ...

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 of modern ...

application is highly valued.LLM experience is valuable, but not necessary.Strong engineering skills valued, especially any of: GPU kernel development, lower-level Pytorch/JAX development, intermediate C++, FPGA/ASIC experience, HPC experience.The estimated base salary range for this position is 200,000 to 300,000 USD per year ...

large distributed runs. Deep understanding of transformer and diffusion architectures, multimodal training, and the practicalities of distributed training Strong Python + PyTorch/JAX; you can debug and profile ML systems and write maintainable research code. A track record of making data-driven scaling decisions and communicating trade-offs crisply ...

Mathematics, or a related field or equivalent experience. Proficiency coding in Python or similar languages, as well as machine learning and analysis tooling (e.g., JAX, PyTorch, Pandas). Experience working with large language models, human‐in‐the‐loop data annotation systems, or AI evaluation frameworks. A willingness to embrace ...

refine existing products. Prior experience in working cross-discipline in matrixed organizations. Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR. Experience using large-scale distributed training and inference. Strong mentorship, communication, and problem-solving skills. A demonstrated passion for applied ...

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 ...

running experiments, and debugging pipelines, and who can carry research results through to production with engineering. Strong coding and experimentation skills (Python, PyTorch/JAX/Tensorflow). Ability to communicate clearly, collaborate across teams, and align research work with product and engineering priorities. Nice to have Experience quantifying uncertainty ...

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 relations ...

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 and training ...

silicon. What they’re looking for: Degree in Physics/Engineering/Electronics and a PhD in Machine Learning Strong Python + PyTorch/JAX skills Publication record in ML or EDA venues Ability to move between research and implementation Clear communication across ML and circuit‐design audiences Experience modelling ...

silicon. What they’re looking for: First degree in relevant STEM subject 3+ years in industry building production ML systems Python + PyTorch/JAX expertise for training, inference, and model export Experience building data pipelines for complex scientific/engineering datasets Solid software engineering fundamentals - testing, CI/ ...

skills. Ability to balance strategic thinking with hands-on technical leadership. Comfortable operating within a fast-paced, high-growth environment. Technology Environment Python PyTorch JAX Large Language Models (LLMs) GPU Training & Inference Infrastructure Distributed ML Systems Why Join? Help shape the future of AI-powered productivity. Work alongside a small ...

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‐offs ...