About the role#
Meta Reality Labs Research is seeking a PhD intern to develop policy learning algorithms for robotics. You will focus on reinforcement learning, robotic policy learning, diffusion and flow models, vision-language-action models, and sim2real techniques. This role involves creating effective algorithms to train control policies for dexterous robot manipulation.
What you'll do#
- Develop and implement strategies for training dexterous robot manipulation policies that are efficient and robust under the complexity of contact.
- Implement and optimize methods on a large-scale cluster infrastructure.
- Collaborate with research scientists and software engineers to build demos and experiences based on your tools.
- Plan, write, and submit research to high impact conferences, journals, or workshops.
What you'll need#
- Currently pursuing a PhD in computer science, machine learning, computational mathematics, or a relevant technical field.
- Research skills in defining problems, exploring solutions, and analyzing and presenting results.
- Experience implementing numerical methods or deep learning models in large-scale code.
- Proficiency in Python.
- Experience with training deep learning models and tools like PyTorch.
- Experience with parallel distributed large-scale model training on CPU or GPU clusters.
- Experience working and communicating cross-functionally in a team environment.
- A track record of results, such as grants, fellowships, patents, or first-authored publications at leading workshops or conferences.
- Intent to return to your degree program after the internship.
- Ability to obtain and maintain work authorization in the United States.
Location & details#
- Location: Redmond, Washington.
- Modality: On-site.
- Duration: Minimum 16 consecutive weeks, with internships ranging from 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.
