Member of Technical Staff - ML Operations

What you'll do

• Develop experiment lifecycle tools and databases for version tracking, reproducibility, and checkpoint ancestry.
• Build and operate inference orchestration, automated model evaluation, and distributed data-processing services.
• Own projects through specification, implementation, CI/CD, on-call support, and production observability.

What they ask for

• Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent hands-on experience.
• Proficiency in at least one scripting language (Python or Bash) and one compiled language (Java, Rust, or Go).
• Experience shipping production-quality developer tools, CICD automations, and end-to-end reproducible pipelines.
• Experience in at least one of: event-driven architecture and distributed systems; large-scale inference serving; multi-node workloads with slurm; or production model evaluation frameworks.

Nice to have

• Experiment tracking at scale with video, 3D, or trajectory artifacts; evaluation harnesses for generative or embodied models.
• Web front-end development; Argo Workflows, Flyte, or Ray; GPU-hour attribution; or open-source ML tooling contributions or publications.

Tools

Python, Bash, Java, Rust, Go, slurm, Argo Workflows, Flyte

AI focus

Supports multimodal foundation world models for Physical AI through ML experiment operations, inference serving, model evaluation, and data infrastructure.