sunbow.ai is built for real-world challenges where better physical AI can meaningfully change outcomes. We combine frontier research with practical engineering to deliver systems customers can rely on.
Location: San Francisco / Remote
You will work across model training, evaluation design, data pipelines, and applied research loops with customers who need domain-specific performance.
We are looking for engineers who can move between experiments and production systems, write clear evaluation code, and reason from evidence rather than vibes.
Location: San Francisco / Remote
You will build the systems that make specialist models practical: training jobs, inference paths, observability, deployment tooling, and feedback ingestion.
This role is a fit for someone who likes pragmatic ML engineering, clean infrastructure, and close collaboration with users.
Location: San Francisco / Remote
You will own product surfaces for model evaluation, workflow configuration, deployment visibility, and customer feedback loops.
We value engineers who care about detail, speed, reliability, and interfaces that make complex systems feel understandable.