8 of 8 Remote/Hybrid JAX Jobs

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 on network ...

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 chops. ...

/ML incubations or complex deep‐tech cross‐functional initiatives with measurable outcomes. Expertise in Python and deep experience with deep‐learning frameworks (e.g., Jax, TensorFlow, PyTorch) and state‐of‐the‐art ML techniques. Practical experience with modern AI paradigms such as world models, foundation models, multi‐modal language models ...

reinforcement learning Experience with agent frameworks, tool-use planning and workflow orchestration Systems-level fluency across data pipelines, training infrastructure and inference (PyTorch, JAX, TensorFlow) Strong MLOps discipline: CI/CD for models, offline/online evaluation, safety and guardrails The ability to influence at exec level and mentor senior ...

high agency and low ego Strong candidates may also have Experience with large-scale distributed training (RL, pre‐training, or post‐training) Familiarity with JAX, PyTorch, or similar ML frameworks A track record of operating at the edge of research and infra in a fast‐moving environment Deadline to apply ...

inference, scientific workloads)Provision and optimize GPU/TPU-based infrastructure on GCP (A3/A4, TPU pods)Analyze performance across frameworks (PyTorch, TensorFlow, JAX, CUDA, ROCm)Identify system bottlenecks (compute, memory, network, I/O)Build automation tools for benchmarking and reportingCollaborate with teams to align workloads with optimal … architectureRequired SkillsStrong experience with GCP (Compute Engine, GKE, Storage, Networking)Hands-on with NVIDIA (CUDA/NCCL), AMD (ROCm), and TPUs (XLA/JAX/TF)Solid knowledge of HPC concepts (MPI, RDMA, InfiniBand, Slurm/Kubernetes)Experience with performance benchmarks (MLPerf, HPL, NCCL, STREAM)Proficiency in Python, Bash ...

inference, scientific workloads) Provision and optimize GPU/TPU-based infrastructure on GCP (A3/A4, TPU pods) Analyze performance across frameworks (PyTorch, TensorFlow, JAX, CUDA, ROCm) Identify system bottlenecks (compute, memory, network, I/O) Build automation tools for benchmarking and reporting Collaborate with teams to align workloads with … Required Skills Strong experience with GCP (Compute Engine, GKE, Storage, Networking) Hands-on with NVIDIA (CUDA/NCCL), AMD (ROCm), and TPUs (XLA/JAX/TF) Solid knowledge of HPC concepts (MPI, RDMA, InfiniBand, Slurm/Kubernetes) Experience with performance benchmarks (MLPerf, HPL, NCCL, STREAM) Proficiency in Python, Bash ...

inference, scientific workloads) Provision and optimize GPU/TPU-based infrastructure on GCP (A3/A4, TPU pods) Analyze performance across frameworks (PyTorch, TensorFlow, JAX, CUDA, ROCm) Identify system bottlenecks (compute, memory, network, I/O) Build automation tools for benchmarking and reporting Collaborate with teams to align workloads with … Required Skills Strong experience with GCP (Compute Engine, GKE, Storage, Networking) Hands-on with NVIDIA (CUDA/NCCL), AMD (ROCm), and TPUs (XLA/JAX/TF) Solid knowledge of HPC concepts (MPI, RDMA, InfiniBand, Slurm/Kubernetes) Experience with performance benchmarks (MLPerf, HPL, NCCL, STREAM) Proficiency in Python, Bash ...