Machine Learning Engineer - Inference Maintainer & Developer Experience

Job description

Job requirements

• Build and maintain inference , our flagship open source and commercial CV inference engine, keeping it healthy and high-quality as contribution volume scales.
• Build an agentic-driven contribution pipeline — automated and semi-automated review, triage, and CI/CD — so we can safely accept a high volume of agent-generated PRs and move from weekly releases toward daily ones.
• Design and grow a world-grounded, ever-expanding test suite that validates real build health across every target (standalone and on-platform), with the goal of nightly end-to-end runs across all of them.
• Define and enforce the "rules of the road" — the review standards and skills that agents and contributors must follow.
• Streamline how new models get added to inference (the most fun part of the job) — making it dramatically faster and easier to bring the latest computer vision and ML models to our users.
• Teach and enable internal teams and customers. Keep our Field Engineers and Support team a step ahead so they can self-serve and go deeper, and help customers get the full value of the product.
• Be the bridge between core engineering and clients — translating new capabilities into docs, demos, stories, and launches which would help people use inference more effectively.
• Contribute to and grow the broader open source community around the project.