Job Summary
The position focuses on training and deploying VLA models specifically for contact-rich manipulation tasks, while also establishing a data flywheel for autonomous construction robots. Furthermore, the role involves researching and optimizing world models for successful edge deployment on tangible hardware platforms.
Responsibilities
- Train VLA models to enhance contact-rich manipulation capabilities.
- Build and maintain the data flywheel for improving autonomous construction robots.
- Research and refine world models for effective performance on physical hardware.
- Ensure the optimized deployment of machine learning systems on edge devices.
Qualifications
- A Bachelor’s, Master’s, or PhD degree in Computer Science, Robotics, or Machine Learning.
- Experience in implementing and deploying learned systems on physical robotic platforms.
- Proficiency in programming using Python and frameworks like PyTorch.
- Familiarity with robotics middleware, particularly ROS2.
Origin 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.
