Senior / Staff ML Ops Engineer

Highlights

• Build and evolve training infrastructure that keeps long-running jobs reliable.
• Shorten the inner loop so researchers get to first signal faster every day.
• Make experiments legible from dataset to checkpoint to simulation result.

Ideal candidate

Platform-minded engineer with 5+ years building tools others love, driven by user empathy and product instinct. You thrive in ambiguity, co-own systems, and care deeply about self-driving and frontier AI.

Requirements

• 5+ years of software or infrastructure engineering including tools or platforms used by other engineers
• Experience operating ML or data-intensive production systems
• Excellent Python with track record designing APIs and CLIs others enjoy using
• Practical AWS depth across object storage, IAM, GPU compute, networking, cost management and IaC
• Experience with distributed PyTorch training and experiment tracking from a platform perspective
• Fluency with containers, CI/CD and modern build systems including large monorepos
• Ability to influence without authority and persuade skeptical senior engineers
• Collaborative, user-empathetic, autonomous operator with strong product instincts and writing
• Passionate about self-driving technologies and frontier AI