26 to 50 of 70 Permanent Google JAX Jobs

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 ...

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 ...

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 ...

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 ...

rollouts, replay buffers, reward signals, data filtering, policy updates, evaluation loops, and failure analysis Are familiar with deep learning frameworks such as PyTorch or JAX Are proficient in Python, including concurrency, asynchronous programming, multiprocessing, and performance optimization Can debug distributed GPU workloads across CUDA runtime, container runtime, driver versions ...

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 ...

operating production ML systems Comfortable working across models, infrastructure and product Enjoy working in fast-moving, early-stage environments Tech Stack Python * PyTorch * JAX * LLMs * vLLM * Vector Databases * Modern Agent Frameworks Get in touch for more details - McGregor Boyall is an equal opportunity employer and do not discriminate ...

Team The frameworks team is responsible for ensuring Graphcore hardware enjoys seamless support in user-facing machine learning frameworks such as Pytorch, Triton, Jax and TensorFlow. We have strong focus on both ease-of-use and performance. Our software team is at the cutting edge of the machine learning ...

Lead AI Engineer Early employee at a high-growth AI startup Ideal Experience Strong Python software engineering skills Expertise with PyTorch and/or JAX Experience deploying machine learning systems into production Deep knowledge of LLMs and Generative AI Hands-on experience with LoRA, QLoRA, DPO, RLHF ...

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 ...

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 click apply for full job details ...

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 mobil... WKCL1_UKTJ ...

work with minimal friction. Iterations on models and systems are measurable, safe, and improve user experience over time. Tech Stack Python PyTorch/JAX GPU-based training and inference system Ideal Experience You have built or shipped real ML systems used by people, not just demos. You are comfortable ...

work with minimal friction. Iterations on models and systems are measurable, safe, and improve user experience over time. Tech Stack Python PyTorch/JAX GPU-based training and inference system Ideal Experience You have built or shipped real ML systems used by people, not just demos. You are comfortable ...

from other ML engineers through example and technical judgment. Work under real production constraints: latency, cost, reliability, and safety Tech Stack Python PyTorch/JAX GPU‐based training and inference systems Ideal Experience You have built and shipped ML systems used by real users. You understand how modern ...

delivery at scale — including workload profiling, scheduler configuration (SLURM, PBS, or equivalent), MPI/NCCL tuning, and distributed training frameworks such as PyTorch, JAX, or DeepSpeed. Deep understanding of GPU software environments: CUDA, cuDNN, NCCL, driver stacks, and the tooling required to run large-scale AI training and inference ...

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 ...

chat application. This role involves building systems from data preparation to deployment, ensuring they meet operational standards. Strong skills in Python, PyTorch, and JAX are essential. Successful candidates will have experience in building production ML systems and will thrive in a collaborative, fast-paced environment focused on innovative ...

data quality, and ensure continuous training cycles. Preferred qualifications include 3+ years in deep learning, proficiency in Python and frameworks like PyTorch/JAX, and effective communication. The role offers 23 days off, private healthcare, and a pension scheme. #J-18808-Ljbffr ...

ensuring models are training-ready and performant. Ideal candidates have experience building ML systems, a strong understanding of Python and frameworks like PyTorch or JAX, and a hands-on approach to system design and integration. This role combines research, product, and infrastructure aspects to enhance user interaction with ...

focus primarily on publishing, incremental benchmarks, or managing a large research organization, this role will not be a fit. Tech Stack Python PyTorch/JAX GPU‐based training and inference system #J-18808-Ljbffr ...

have strong experience building production-grade machine learning systems at scale You are experienced with modern ML frameworks such as PyTorch, TensorFlow, or JAX You have worked with or are interested in multimodal machine learning You understand how to design systems that balance automation with quality, safety, and user ...

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 ...

Olix Computing seeks an Architect/Staff Systems Software Engineer to own the DX-1 runtime and serving stack, connecting PyTorch/JAX to the hardware and enabling production inference at rack scale. This is a whole-stack role at the intersection of runtime, network, and accelerator with close ...

OLIX is seeking an Architect/Staff Systems Software Engineer to own the DX-1 runtime and serving stack, connecting PyTorch and JAX down to the metal. You will work at the intersection of runtime, network, and accelerator, partnering with hardware, compiler, and modelling teams to optimize serving performance. ...