Apply on Employer Site

Meta · 4 months ago

Research Scientist Intern, Robot Foundation Models (PhD)

Burlingame, CA

Internship

Onsite

Intern

$7,650/mo - $12,134/mo

Meta is a technology company focused on connecting people and building immersive experiences. They are seeking a Research Scientist Intern to explore robotic control, machine learning, and human-robot interaction, with responsibilities including developing control policies for robotics platforms and collaborating with researchers.

Computer Software

Comp. & Benefits

No H1B

Responsibilities

Conduct collaborative research on developing control policies for a range of robotics platforms

Implement frameworks to train state-of-the-art machine learning control policies such as Large Behavioral Models, Imitation Learning, Reinforcement Learning and VLAs

Develop, implement, and evaluate methods for learning robust representations from multi-modal data (e.g., video, audio, IMU, EMG, Tactile)

Develop robotic data collection pipelines for robotic dextrous manipulation, train models, and benchmark different algorithms

Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results

Qualification

Robotic manipulation controlMachine learning frameworksPythonReinforcement learningRobotics experienceMultimodal data analysisControl theoryTeam collaborationCommunication skills

Required

Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Artificial Intelligence, Robotics, or relevant technical field

Understand state of the art in robotic manipulation control policies, and advancing the technological frontier in an impactful and efficient way

Experience with RoS, Python, PyTorch or JAX, or other related languages

Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment

Preferred

Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as Robotics (RSS, ICRA, IROS, CoRL, T-RO, IJRR), Machine Learning (NeurIPS, ICML, ICLR, AAAI, JMLR), and Computer Vision (CVPR, ICCV, ECCV, TPAMI), or similar

Experience with modern control policies like reinforcement learning, imitation learning, and large behavioral models

Familiarity with modeling and analysis used in robotics including kinematics, dynamics, motion planning, perception, task planning, and control theory

Experience working with robot manipulation

Experience with multimodal self supervised representation learning

Experience on vision based input recognition systems, such as hand tracking and pose estimation

Experience on working with time sequence form sensor data, such as EMG, IMU, and audio

Experience with hand force estimation and its applications in robot policy learning

Experience working and communicating cross functionally in a team environment

Intent to return to the degree program after the completion of the internship/co-op

Availability for minimum 16 consecutive week internship