Founding ML Engineer – Boston

The position involves developing and deploying machine learning models for robotic manipulation and autonomous behaviour, integrating modern techniques such as diffusion policies and vision-language models, on real hardware. Candidates will build infrastructure for data collection, model training and inferencing, applying classical control principles. Responsibilities include translating research into production, evaluating performance on physical robots, and collaborating across robotics engineering disciplines. The role demands strong technical skills in machine learning, control, and robotics, with experience deploying models on real systems. Candidates should possess an advanced degree, practical experience with modern ML architectures, and a research background, with additional experience in embedded AI or open source projects viewed favourably. The environment fosters close collaboration between research and engineering, emphasising real-world implementation and innovation.