# Research Scientist Intern - Dexterous Manipulation and Contact-Rich Control - PhD at Meta

- Company: [Meta](https://meta.com)
- Location: Redmond, WA
- Type: Internship · Internship
- Posted: 2026-10-24
- Apply: https://www.metacareers.com/jobs/2053489871986285
- Page: https://newgrad.ai/jobs/research-scientist-intern-dexterous-manipulation-and-contact-20188b2b

## Summary by newgrad.ai

What you'll do:

- Develop learned feedback control systems for multi-fingered robotic hands.
- Utilize reinforcement learning within high-fidelity simulation environments.
- Integrate tactile and proprioceptive feedback for real-world robot transfer.

What they're looking for:

- PhD students interested in dexterous manipulation and contact-rich control.
- Availability for internships lasting 16 to 24 weeks.

## Posting

Agios is a full stack research organization within Reality Labs Research, spanning materials and manufacturing, sensors and actuators, simulation, and learned control. Our mission is to build systems that enhance human capabilities through intelligent machine collaboration. Today that work centers on what we call the last bottleneck: AI has compressed the digital side of research and development, while the physical side still moves at human speed. Dexterous Manipulation is the pillar attacking that problem directly, pairing a custom dexterous robotic hand with in-house wearable sensing, high accuracy simulation, and glove-driven teleoperation.

As a Research Scientist Intern, you will work on fast, stable, learned feedback control for multi-fingered robotic hands. Your focus will be reinforcement learning in high-fidelity simulation, tactile and proprioceptive feedback, and transfer to real robot hands, with mentors who span hardware, simulation, controls, and policy learning.

Our internships are sixteen (12) to twenty-four (24) weeks long and we have various start dates throughout the year.

From Meta's public posting, laid out for reading by newgrad.ai with the wording unchanged. Check the original before you apply.

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