About the role#
This internship involves working on learned feedback control for multi-fingered robotic hands. You will join a team focused on reinforcement learning within high-fidelity simulation, tactile and proprioceptive feedback, and transferring these policies to real robot hardware. The team spans hardware, simulation, controls, and policy learning.
What you'll do#
- Drive an independent research thread on learned reactive control for dexterous hands, covering everything from problem formulation to real-robot evaluation.
- Design controlled experiments and benchmarks to isolate specific issues with manipulation dexterity.
- Integrate proprioceptive signals into control policies.
- Close the sim-to-real gap for contact by using system identification, domain randomization, and realistic models.
- Collaborate with an interdisciplinary team and communicate research plans, progress, and results.
What you'll need#
- Currently pursuing a Ph.D. in Computer Science, Robotics, Mechanical Engineering, Electrical Engineering, or a related field.
- Research experience in reinforcement learning or learning-based control for robotic manipulation or locomotion, shown through publications, open-source code, or other projects.
- Experience with Python and physics simulators such as MuJoCo, Isaac, or Drake.
- Ability to obtain work authorization in the United States at the time of hire.
- Availability for a minimum of 16 consecutive weeks.
- Preferred: Experience with sim-to-real transfer, tactile or force/torque sensing, retargeting, and manipulation mechanics.
- Preferred: Hands-on experience with multi-fingered robotic hands or grippers on real hardware.
- Preferred: A record of significant results through grants, fellowships, patents, or first-authored publications.
Location & details#
- Location: Redmond, Washington.
- Modality: On-site.
- Employment: Full-time internship.
- Term: Rolling, 16 to 24 weeks.
About Meta
Meta develops software and social media applications. It operates platforms such as Facebook, Messenger, Instagram, and WhatsApp. The company maintains headquarters in Menlo Park, California. Current work focuses on augmented and virtual reality alongside artificial intelligence and machine learning.
How to get in at Meta
Landing an internship at Meta requires a proactive approach to the application process. Intern Insider sends an instant alert the moment a role matching your target is published, allowing you to apply among the first. Early applicants often have their materials reviewed before the applicant pool grows significantly. You can use Intern Insider to surface the recruiters behind specific roles at Meta. Reaching out directly to these individuals to ask about the position or a referral often improves your response rates compared to applying into a queue.
