Research Scientist Intern, Robotics Control Policy and Mechanics

Meta • Redmond, WA • 5h ago

Summary:

At Reality Labs Research, our goal is to explore, innovate and design novel interfaces and hardware for the next generation of wearable experiences. We are driving research towards a vision of natural, seamless experiences in XR environments that are effective, enjoyable, and functionally indistinguishable from those in the real world.As a Research Scientist Intern, you will work at the intersection of robotic control, mechanics, and machine learning, and you will have the opportunity to work with world-leading collaborators and mentors in these fields. Your primary focus will be on developing novel robotic control policies for dexterous manipulation by combining data-driven approaches with mechanics.Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.

Required Skills:

Research Scientist Intern, Robotics Control Policy and Mechanics Responsibilities:

Design and implement novel robotic control policies, leveraging both modern machine learning and physics-based modeling

Conduct research on dexterous manipulation, specifically involving complex object interaction, uncertainty, and deformable bodies

Develop and evaluate algorithms in both high-fidelity simulation and real-world robotic setups

Collaborate with team members to integrate research insights into larger robotics platforms

Prepare and present research findings for internal review and potential publication

Minimum Qualifications:

Currently has or is in the process of obtaining a PhD in the field of Robotics, Mechanical Engineering, Computer Science, or a related technical field

Demonstrated experience with modern machine learning-based control policies, such as Reinforcement Learning or Imitation Learning

Understanding of classical robotics theory, including kinematics and rigid body dynamics

Experience with solid mechanics and modeling for deformable bodies

Proficiency in programming languages commonly used in robotics and machine learning (e.g., Python, C++)

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

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

Preferred Qualifications:

Experience with Robotics simulation environments (e.g., MuJoCo, Isaac Gym, PyBullet)

Experience with open source solid mechanics simulation tools (e.g. Fenics, Deal-ii, Firedrake)

Familiarity with deep learning frameworks (e.g., PyTorch, TensorFlow)

Experience with robotic hardware and real-world experimentation

Experience working and communicating cross functionally in a team environment

Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences

Public Compensation:

$7,313/month to $12,134/month + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereo@types, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

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