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Meta builds technologies that help people connect, find communities and grow businesses.

Size: 10000+ employees
Industry: Engineering, Social Media, Technology

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The Meta Reality Labs Research Team is composed of world-class researchers, developers, and engineers dedicated to shaping the future of AR/VR and machine perception. The Surreal Vision group at RL Research is seeking exceptional Research Scientist interns to contribute to the development of an egocentric AI system. This system will form the foundation for contextual-AI-enabled AR devices and humanoid robots. As a research intern, you will tackle cutting-edge research challenges, innovating novel computer vision and machine learning techniques.

Your research project may cover or relate to the following topics:

• Egocentric vision language model for long-context 3D scene understanding- Utilizing memory for more consistent and accurate future state prediction using visual language action models or world models- Exploring novel learning strategies to improve the quality and generalization of visual language action models or world models with egocentric data- 4D generation & reconstruction of dynamic scenes Our internships are twelve (12) to twenty four (24) weeks long and we have various start dates throughout the year. Some projects may require a minimum of 24 consecutive weeks.

Research Scientist Intern, Large Foundation Models and Generative AI (PhD) Responsibilities:

• Plan and execute cutting-edge research and development to advance the state-of-the-art in machine perception, future prediction, 4D scene understanding & reconstruction, robotics.
• Collaborate with other researchers and engineers across machine perception teams at Meta to develop experiments, prototypes, and concepts that advance the state-of-the-art in AR/VR and AI systems.
• Work with the team to help design, setup, and run practical experiments and prototype systems related to large-scale high quality sensing and machine reasoning.

Minimum Qualifications:

• Currently has, or is in the process of obtaining a PhD degree in the domain of computer-vision, machine learning, robotics, and computer graphics
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
• Knowledge and hands-on experience on 3D computer vision
• Hands-on experience implementing large foundation models and generative models, such as LLMs, VLMs, video diffusion models, LRMs, World Models, VLAs, Reinforcement Learning
• Experience working within Python environments such as pytorch
• Experience working in a Unix environment

Preferred Qualifications:

• Ability to work a consecutive 24 weeks
• Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as CVPR/ECCV/ICCV, ICLR, NeurIPS, CoRL/RSS/ICRA/IROS, SIGGRAPH/SIGGRAPH Asia, etc
• Strong track-record of published research in the fields of generative modeling, large foundation models, robotics, neural reconstruction, and neural rendering
• Strong programming experience using python and pytorch
• Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
• Intent to return to a degree-program after the completion of the internship
• Experience working and communicating cross functionally in a team environment

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and Whats App further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.

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Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.$7,650/month to $12,134/month + benefits Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Client-provided location(s): Redmond, WA

Job ID: a1KDp00000E2ddLMAR

Employment Type: INTERN

Posted: 2025-12-20T19:52:41
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Perks and Benefits

Health and Wellness

• Health Insurance
• Health Reimbursement Account
• Dental Insurance
• Vision Insurance
• Life Insurance
• Short-Term Disability
• Long-Term Disability
• FSA
• FSA With Employer Contribution
• HSA
• HSA With Employer Contribution
• Fitness Subsidies
• On-Site Gym
• Mental Health Benefits

Parental Benefits

• Birth Parent or Maternity Leave
• Non-Birth Parent or Paternity Leave
• Fertility Benefits
• Adoption Assistance Program
• Family Support Resources

Work Flexibility

• Flexible Work Hours
• Remote Work Opportunities
• Hybrid Work Opportunities

Office Life and Perks

• Commuter Benefits Program
• Casual Dress
• Happy Hours
• Snacks
• Some Meals Provided
• Company Outings
• On-Site Cafeteria
• Holiday Events

Vacation and Time Off

• Paid Vacation
• Unlimited Paid Time Off
• Paid Holidays
• Personal/Sick Days
• Sabbatical
• Leave of Absence

Financial and Retirement

• 401(K)
• 401(K) With Company Matching
• Pension
• Company Equity
• Performance Bonus
• Relocation Assistance
• Financial Counseling

Professional Development

• Learning and Development Stipend
• Promote From Within
• Mentor Program
• Shadowing Opportunities
• Access to Online Courses
• Lunch and Learns
• Internship Program

Diversity and Inclusion

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