Our Mission
Our mission is to solve the most important and fundamental challenges in AI and Robotics to enable future generations of intelligent machines that will help us all live better lives.
Research Scientists

will have proven hands-on research experience with a focus on one or more of these key areas: Robot Control (Reinforcement Learning, Imitation Learning), Perception, Autonomy and Navigation, LLM/VLM, Hardware Design. If you have a passion for developing technology for robots and use it to advance their capabilities and usefulness, you will want to join us!
Responsibilities

Research focused on advancing robotic systems by developing exciting new ideas and providing solutions to complex problems
Collaborate on publications to be submitted at worldwide conferences
Apply your and others’ research to real-world problems and state-of-the-art robots
System Design using model-based and data-driven techniques
Creatively apply modern learning algorithms to robotics
Use your strong development skills to develop algorithms and improve systems
Working with fellow researchers and engineers to develop prototypes
Requirements

BS, MS or Ph D in a robotics-relevant field
3+ years of experience in research and development
Good grasp of a broad set of techniques related to RL/IL control, state and world estimation, perception, planning/navigation, LLM/VLM
Strong development skills with at least one programming language
Experience with systems that have complex physical interaction (locomotion & grasping)
Bonus

Proven track record of publications in top-tier conferences and journals in Machine Learning, Robotics, or related fields (e.g. CVPR, ICCV, ECCV, TPAMI, IJCV, NIPS, ICLR, ICML, IJRR, RSS, Sci Ro, CORL etc.)
We provide equal employment opportunities to all employees and applicants for employment and prohibit 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.

#J-18808-Ljbffr