Software Engineer, ML Systems

Highlights

• Build the verification engine that catches silent bugs before code ships.
• Own productionization of RL research pipelines to prove ideas at scale.
• Build evaluation and observability tooling to reveal agent training health.

What they offer

• Unlimited PTO
• 401(k) matching
• 100% employer-paid health, vision, and dental for employees and 50% for dependents
• Health Savings Account (HSA) for qualifying health plans

Ideal candidate

Pragmatic, implementation-driven engineer who loves turning nascent research ideas into robust, scalable systems and partnering closely with researchers to unlock their full potential.

Requirements

• BS in Computer Science, related technical field, or equivalent industry experience
• 2+ years of relevant industry experience
• Expert-level Python skills and disciplined software engineering practices
• Experience building and managing end-to-end ML pipelines in production or research
• Full-stack ML experience from data engineering to model debugging
• Experience refactoring research-grade code into scalable production packages
• Experience designing data-loading and evaluation systems for non-deterministic models
• Experience with workflow orchestration tools (e.g., Kubeflow, Airflow, or Metaflow)
• Experience managing large-scale experiments on AWS, GCP, or Azure
• Proven collaboration with researchers to translate algorithmic requirements into roadmaps
• Hands-on experience with containerization (Docker) and orchestration (Kubernetes)