Member of Technical Staff - ML Operations

Highlights

• Build serving control plane for large-scale concurrent inference fleets.
• Own experiment lifecycle from launch and resume to reproducibility tracking.
• Operate automatic checkpoint evaluation on rollout and policy-success suites.

Ideal candidate

An infrastructure-obsessed builder who thrives owning critical systems end to end in a fast-moving team. You care deeply about reliability, reproducibility, and empowering researchers pushing Physical AI forward.

Requirements

• Bachelor's degree or equivalent hands-on experience in Computer Science, Engineering, or related technical field
• Proficiency in at least one scripting (Python or Bash) and one compiled (Java, Rust, or Go) language
• Experience shipping production-quality developer tools
• Proficient in CI/CD automation including pipelines, runners, and deployment
• Experience building reproducible end-to-end pipelines with understanding of bit-reproducibility in training runs
• Proven understanding of event-driven architecture, concurrency models, fault tolerance, and data consistency patterns
• Experience building or operating large-scale inference control planes or distributed serving infrastructure
• Experience working with multi-node workloads and building around Slurm-based scheduling systems
• Experience working on in-production model evaluation frameworks, particularly regression testing of large multimodal models