About the role#
We are looking for a Research Scientist Intern to advance robot learning and embodied intelligence. You will build systems that perceive, reason, and act in the physical world. This role involves research and hands-on experimentation on hardware and in simulation to develop new policies and architectures. You will join an incubation team and work with scientists and engineers across the organization.
What you'll do#
- Develop algorithms for robot perception, manipulation, navigation, and control using deep learning and foundation models.
- Train and evaluate learning policies in simulation and on physical hardware.
- Improve the efficiency, scalability, and real-time performance of algorithms on robot platforms.
- Perform research to advance the science of intelligent machines and learn the semantics of multimodal data.
- Contribute to data collection, teleoperation, and sim-to-real transfer pipelines.
- Collaborate with partners in hardware, controls, software, and product.
- Publish research results and contribute to internal product development.
What you'll need#
- Current enrollment in a Ph.D. program in Robotics, Computer Science, Computer Vision, AI, Electrical or Mechanical Engineering, or a related technical field.
- Experience with Python, C++, C, or Java.
- Experience building systems using machine learning or deep learning methods.
- Intent to return to your degree program after the internship.
- Ability to obtain and maintain work authorization in the United States.
- A track record of results, such as grants, patents, or first-authored publications at major conferences.
- Experience deploying learned policies on real robot hardware.
- Familiarity with simulation, domain randomization, and sim-to-real transfer.
- Knowledge of classical robotics foundations including SLAM, state estimation, motion planning, and optimal control.
- Experience working with deep learning frameworks and large-scale, high-dimensionality data.
Location & details#
- Location: Burlingame, California.
- Modality: On-site.
- Duration: 12 to 24 weeks.
- Compensation: $7,650 to $12,667 per month.
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.
