Applied Science Manager
Core
Lead a team developing machine learning systems that enable robots to perceive, reason, and act in real-world environments, setting technical direction for leveraging and optimizing state-of-the-art models.
Role type
Senior Applied Science Manager (Robotics Foundation Models)
Builds
Intelligent robotics systems with multi-modal learning capabilities for automation at scale
Domain
Robotics, Artificial Intelligence, Machine Learning
Deliverable
production ML models
Required skills
ML, NLP, Information Retrieval, Analytics, Team Leadership, Technical Direction, Model Evaluation, Optimization
Preferred skills
Deep Learning, Computer Vision, Complex Software Systems, Algorithm Development
Technologies
Deep learning frameworks, Computer vision libraries, Large language models, Open source models
Responsibilities
Build and lead a team developing ML systems for robot perception and action; Set technical direction for leveraging and adapting state-of-the-art models; Drive capability roadmap and evaluation strategy; Collaborate with research, controls, hardware, and product teams.
Seniority
Senior, hands-on IC with management responsibilities
