Member of Technical Staff - ML Operations
Core
Design, build, and operate the full lifecycle of ML experiments, inference serving infrastructure, and data pipelines for multimodal foundation models in Physical AI.
Role type
Senior IC ML Operations Engineer
Builds
Experiment tracking tooling, inference control planes, model evaluation systems, and distributed data processing services
Domain
Physical AI, Robotics, Multimodal Foundation Models
Deliverable
production ML models
Required skills
Python, Bash, Java, Rust, Go, CI/CD, event-driven architecture, concurrency models, fault tolerance, distributed serving infrastructure, traffic management, admission control, request scheduling, routing, batching, cache-aware load balancing, multi-node workloads, Slurm scheduling, model evaluation frameworks, regression testing
Preferred skills
Experiment tracking at scale (video, 3D, trajectory artifacts), evaluation harnesses for generative/embodied models, full stack web development, ML workflow orchestration (Argo Workflows, Flyte, Ray), GPU-hour attribution, open-source ML tooling contributions
Technologies
Python, Bash, Java, Rust, Go, CI/CD, Slurm, Argo Workflows, Flyte, Ray
