About the role#
As a Research Scientist Intern, you will join the Agios team within Reality Labs Research. You will work at the intersection of robot learning, dexterous control, and human-to-robot transfer. Your work focuses on models that turn human demonstration data into robot behavior, including retargeting, manipulation policies, and teleoperation. You will work alongside mentors specializing in hardware, simulation, controls, and policy learning.
What you'll do#
- Drive an independent research thread on learned control and motion transfer for dexterous hands, from problem formulation through evaluation.
- Build training pipelines for modern policy classes like flow matching, diffusion, imitation learning, reinforcement learning, and large behavior models.
- Develop representations that fuse multimodal human and robot data, such as video, hand pose, tactile force, and IMU, into a shared action space.
- Construct data collection pipelines and benchmarks for dexterous manipulation to test generalization across objects and motions.
- Collaborate across an interdisciplinary team and communicate research plans, progress, and results.
What you'll need#
- Currently pursuing a Ph.D. in Computer Science, Artificial Intelligence, Robotics, or a related technical field.
- Understanding of the state of the art in learned dexterous manipulation and control.
- Experience with Python and PyTorch or JAX.
- Familiarity with ROS or comparable robotics middleware.
- Intent to return to your degree program after the internship.
- Ability to commit to a minimum of 16 consecutive weeks.
- Experience training modern control policies and familiarity with robotics modeling such as kinematics, dynamics, and trajectory optimization.
- Hands-on experience with multi-fingered robotic hand manipulation and motion retargeting.
- Experience with sim-to-real workflows, collecting real robot hand demonstrations, and multimodal representation learning.
- Experience with vision-based input systems, time sequence sensor data, and hand force estimation.
- Experience designing data collection protocols and debugging prototype software and hardware systems.
- A track record of research results through grants, fellowships, patents, or first-authored publications.
Location & details#
- Location: Redmond, Washington.
- Modality: On-site.
- Employment: Full-time internship.
- Term: Rolling start dates for 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.
