About the role#
Meta Reality Labs Research is seeking a PhD intern to help develop next-generation policy learning algorithms for robotics. You will focus on reinforcement learning, robotic policy learning, diffusion and flow models, vision-language-action models, and sim-to-real methods to train control policies for dexterous robot manipulation.
What you'll do#
- Develop and implement strategies to train dexterous robot manipulation policies that are efficient and robust to contact complexity.
- Implement and optimize your methods on large-scale cluster infrastructure.
- Collaborate with research scientists and software engineers to build demos and experiences using your tools.
- Plan, write, and submit research to high-impact conferences, journals, or workshops in robot learning or reinforcement learning.
What you'll need#
- Currently pursuing a PhD in computer science, machine learning, computational mathematics, or a related technical field.
- Proficiency in Python and experience implementing numerical methods or deep learning models in large-scale code.
- Research skills in defining problems, exploring solutions, and analyzing and presenting results.
- Experience with training deep learning models and tools like PyTorch.
- Experience with parallel distributed large-scale model training on CPU or GPU clusters.
- A track record of significant results, such as grants, fellowships, patents, or first-authored publications at conferences like NeurIPS, ICML, ICLR, RLC, IROS, ICRA, RSS, or CoRL.
- Ability to communicate and work cross-functionally in a team.
- Intent to return to your degree program after the internship.
- Availability for a minimum of 16 consecutive weeks.
- Must obtain and maintain work authorization in the United States.
Location & details#
- Location: Redmond, Washington.
- Modality: On-site.
- Duration: 12 to 24 weeks with rolling start dates.
- 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.
