Machine Learning Engineer

OpenMind is building an operating system for robotics with models that help robots understand people, context, and social norms while operating safely alongside humans. The Machine Learning Engineer will turn research into reliable models for physical robots by building training, evaluation, and inference systems, processing embodied data, and deploying optimized multimodal models in production.

Responsibilities:

• Build multimodal perception models that make robots socially aware, such as active speaker detection, person tracking across camera and lidar, and engagement estimation
• Build and scale the pipelines that turn multi-hour, full-stack robot logs into curated, labeled datasets for training, evaluation, and external data partnerships
• Ship models as containerized services in our OM1 deployment stack, and own their latency, reliability, and regressions in the field
• Work closely with our research lab, robotics engineers, and deployment teams to move models from prototype to production on physical robots within weeks
• Integrate, fine-tune, and optimize foundation models for real-time perception and reasoning on embedded compute