Member of the Technical Staff - AI/ML Engineer
Core
Build end-to-end ML systems that learn from messy, real-world scientific execution data to create grounded interpretations of actions and their impact on experiments.
Role type
Senior IC AI/ML Engineer (Physical AI/Robotics)
Builds
Learning systems for physical AI that integrate vision, audio, and sensor data into coherent representations of scientific workflows.
Domain
Frontier science, perception, machine learning, and robotics
Deliverable
production ML models
Required skills
Machine learning fundamentals, Python, PyTorch, multimodal learning, data pipeline design, production ML deployment, systems integration
Preferred skills
Experience in science, entrepreneurial spirit, fast-moving/ambiguous environments
Technologies
Python, PyTorch, vision systems, audio systems, sensor data systems
Responsibilities
Build ML systems that learn from real-world scientific execution data with delayed feedback and incomplete labels. Design multimodal learning pipelines combining vision, audio, sensor data, and metadata. Develop models that reason about experiment success/failure and surface model confidence/uncertainty. Integrate models into real workflows influencing human decisions and robotic actions. Ensure models learn transferable structures rather than site-specific artifacts.
Seniority
Senior, hands-on IC