Robotics Machine Learning Engineer

We’re building the data stack for Physical AI. The Rerun open source viewer is already loved by some of the best teams in the world and the Rerun Cloud is live with early design partners. Demand is strong, and we need engineers who can sit with our customers and make them successful while feeding lessons learned back into the product. Our product is still early, and the right person will be comfortable fixing a feature and preparing a data pipeline as they are running a live demo. What success looks like in the first 6 months Your north star is simple: help our customers love Rerun. You'll be the primary technical interface between Rerun and a set of customers, from demo to signed contract and through deep production use. We value a strong ownership mentality. What you'll work on Machine learning: Data pipelines: ingest data from physical systems, curate datasets, and convert into training datasets Training and experimentation: building reference projects for embodied AI use cases such as imitation learning pipelines, sim-to-real setups, and evaluation frameworks Customer love: Landing customers: Running demos and building engineer-to-engineer trust alongside our founders based on machine learning work Launching customers: Support onboarding customers onsite and remotely. We anticipate 30% travel for this role, with less initially and potentially growing to a larger percentage over time Improving product: Mapping customer needs and one off solutions to evolve our roadmap. Sometimes building features yourself based on your deep customer understanding We'd love it if you have ML engineering background, ideally with data engineering exposure with a strong understanding of pipelines, ingestion, and the messy realities of physical-world data Strong Python; C++ or Rust is a plus Genuine interest in robotics, spatial AI, or computer vision Comfortable talking to engineers and communicating value without losing technical depth Energized by ambiguity, ownership, and wearing