14 of 14 Remote/Hybrid Permanent Google JAX Jobs

Senior) or 8+ years (Staff) of hands‐on applied ML experience, including production‐grade work. Deep familiarity with modern deep learning stack (PyTorch or JAX), and breadth across at least two of: generative models (diffusion, autoregressive, flow‐based), graph and equivariant networks, vision (CNNs, ViTs, multimodal LLMs), search ...

computer science, or a related field. Deep practical experience in Python and at least one modern machine learning framework such as PyTorch, TensorFlow, or JAX, experience working with large compute clusters and ML infrastructure is a plus. A track record of leading self-directed research projects that go well ...

Computer Science (or equivalent proven track record). 4 + years working on large‐scale ML codebases. Hands‐on with PyTorch, JAX or TensorFlow; comfortable with distributed training (DeepSpeed/FSDP/SLURM/K8s). Experience in deep learning, NLP or LLMs; bonus for CUDA or data‐pipeline ...

language understanding. The ability to write clean and maintainable code in Python, Rust, C++ or Java Experience with frameworks such as PyTorch, Tensorflow or JAX Strong written and verbal communication skills to document your work effectively and present it to relevant stakeholders and users A passion for identifying ...

strong programming skills in Python , Rust, or similar; and strong software engineering fundamentals building performant and reliable systems. Proficient in deep learning frameworks (Pytorch, JAX, TensorFlow). You can work on different layers of the stack from low-level training backends, data ingestion to ML/RL algorithmic design ...

Advanced proficiency in Python and C++ within a Linux/UNIX environment. Technical Stack: Extensive practical experience with leading machine learning frameworks (e.g., PyTorch , JAX , or TensorFlow ). Research Experience: A demonstrated track record of designing and implementing complex machine learning architectures to solve rigorous, data-heavy problems. Note ...

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 ...

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 ...

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 ...

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 ...

NAACL, ICLR) with specific focus on agent systems, tool use, or multi‐agent coordination. Familiarity with one or more deep learning frameworks (e.g. pytorch, jax, tensorflow, ...) Experience in ML Research beyond completing a PhD (e.g. supervision, industry experience, leading academic initiatives, ...). Excellent communication skills to report … source libraries or writing production code. Experience training large‐scale models over distributed nodes with cloud tools such as Amazon AWS, MS Azure, or Google Cloud. You will enjoy Learning and development: On-the-job coaching and learning as well as the opportunity to work with cutting‐edge methods ...

have built and shipped ML systems used by real users. Examples of relevant experience include: Model training and evaluation Production inference systems PyTorch or JAX GPU-based training and inference ML experimentation and iteration Monitoring and debugging production ML systems AI reliability and performance optimisation End-to-end ownership … production Independent ownership and execution Excellent problem-solving ability A bias towards shipping, measuring outcomes, and iterating quickly Technical Environment Python PyTorch/JAX GPU-based training and inference systems OpenAI, Anthropic and open-source models SQL/NoSQL Docker Kubernetes AWS, Azure or GCP Compensation Compensation is intentionally ...

systems Strong Python software engineering skills Experience training, fine-tuning or deploying modern machine learning models Strong experience with PyTorch and/or JAX Experience building scalable ML infrastructure and inference pipelines Comfortable owning projects end-to-end in fast-moving environments Previous mentoring or technical leadership experience would … advantageous Tech Stack Python * PyTorch * JAX * GPU Training * LLMs * Modern ML Infrastructure Get in touch for more details - McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds. ...