Job description
As the head of the robot-learning research initiative, you will establish the technical roadmap, outline evaluation metrics, and make essential decisions regarding architecture and computational trade-offs. You will also be responsible for the development and pretraining of foundational models for robots, while guiding the research team to enhance physical functionalities. Applicants should have a PhD in a related discipline or a comparable track record of innovative research and practical applications. Expertise in Python, PyTorch or JAX, and C++ is essential, as is demonstrated experience in implementing learned models on real-world robotic systems.
GRAM provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
