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Research Scientist Intern, Egocentric Vision-Language Models (PhD)

Meta · Sunnyvale, CA · Redmond, WA

Spotted 14d agoInternship

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Employment
Internship
Level
Internship
Education
PhD
Posted
Oct 13, 2026
Last confirmed open
Oct 28, 2026

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Research Scientist Intern, Egocentric Vision-Language Models (PhD)

Research Scientist Intern, Egocentric Vision-Language Models (PhD)

Sunnyvale, CA +1 location

Research

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The Meta Reality Labs Research Team brings together a world-class team of researchers, developers, and engineers to create the future of AR and VR. The Surreal Vision group at RL Research is seeking exceptional Research Scientists to research and help build the egocentric machine perception functionalities and digital twins of 3D scenes that will underpin future VR and contextual-AI-enabled AR devices.

The Surreal group at Reality Lab Research is seeking outstanding Research Scientist Interns to advance the frontier of egocentric AI. As an intern, you will tackle ambitious research challenges at the intersection of computer vision and natural language, contributing to the development of next-generation intelligent systems.

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

-Advancing multi-modal understanding and reasoning in AI systems

-Developing adaptive intelligent models

-Mining temporal patterns in complex data

-Designing proactive and context-aware AI models

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, Egocentric Vision-Language Models (PhD) Responsibilities

  • Plan and execute innovative research to advance the state-of-the-art in egocentric AI, multi-modal understanding, and long-term reasoning.
  • Collaborate with researchers and engineers to design, develop, and run experiments and prototype systems that push the boundaries of intelligent egocentric AI systems.
  • Publish research findings in top-tier conferences and effectively present research outcomes to internal and external audiences.

Minimum Qualifications

  • Currently has, or is in the process of obtaining a PhD degree in the domain of Computer Vision, Natural Language, Reinforcement Learning or related field
  • Knowledge in deep learning, computer vision, generative modeling, LLMs and VLMs
  • Hands-on experience with implementing deep learning algorithms, large-scale training, benchmark and evaluation
  • Programming experience in Python, deep learning frameworks such as Pytorch
  • Experience working and communicating cross functionally in a team environment
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications

  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences such as CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, NAACL, ACL, EMNLP
  • Experience building systems based on machine learning, reinforcement learning and/or deep learning methods
  • Demonstrated SWE or research experience via an internship, work experience, coding competitions, widely used contributions in open source repositories (e.g. GitHub), or top-tier publications
  • Intent to return to a degree-program after the completion of the internship

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 WhatsApp 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.

For those who live in or expect to work from California if hired for this position, please click here for additional information.

United States of America: $7,650/month to $12,667/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.

Equal Employment Opportunity

Meta is proud to be an Equal Employment Opportunity employer.

We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

You may view our Equal Employment Opportunity notice here .

Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form .

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Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer.

We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

You may view our Equal Employment Opportunity notice here .

Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need assistance or

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