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Summary:

Reality Labs Research is pioneering the next generation of AR/VR devices and intelligent systems. Our mission is to create the foundational technologies that enable contextual AI for AR glasses, VR headsets, and embodied agents. We are advancing the state of the art in 3D perception, multimodal scene understanding, and efficient on-device intelligence.We are seeking a highly self-motivated and hands-on PhD student to join our team as a Research Scientist Intern for Summer 2026, focusing on 3D scene understanding.Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.

Required Skills:

Research Scientist Intern, 3D Scene Understanding (PhD) Responsibilities:

1. Conduct research in 3D scene understanding, including but not limited to: Efficient and scalable 3D representation learning or reconstruction, Hierarchical / semantic scene graphs for large-scale environments, Open-vocabulary multimodal grounding (text, image, video, audio etc), Dynamic object tracking and temporal scene reasoning, and Edge-aware 3D scene understanding.

2. Design and execute experiments on public datasets and/or internal data from AR/VR hardware.

3. Collaborate with researchers, engineers, and interns across Reality Labs to advance the research frontier.

4. Document findings and aim for submission to CVPR or equivalent top-tier conferences.

Minimum Qualifications:

Minimum Qualifications:

5. Currently pursuing a PhD in Computer Vision, Machine Learning, Robotics, or a related field

6. Research background in at least one of: 3D scene understanding, semantic mapping, SLAM, or neural representations, Multimodal learning (vision + language, vision + audio), Large-scale 3D reconstruction or scene graph generation

7. Proven publication record in top-tier venues (CVPR, ICCV, ECCV, NeurIPS, ICLR, etc.)

8. Programming skills in Python and PyTorch (or equivalent deep learning frameworks)

9. Hands-on experience with 3D datasets, rendering, or AR/VR sensors

10. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications:

Preferred Qualifications:

11. Experience with hybrid 3D representations (e.g., Gaussian Splatting, NeRFs, octree/voxel methods)

12. Familiarity with open-vocabulary or foundation models (CLIP, Segment-Anything, LLMs for vision-language reasoning)

13. Knowledge of real-time or efficient deployment techniques (quantization, distillation, adaptive inference)

14. Ability to integrate research code into practical prototypes on edge devices (Jetson, AR/VR headsets)

15. Intent to return to degree-program after the completion of the internship/co-op

16. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences

17. Experience working and communicating cross functionally in a team environment

Public Compensation:

$7,650/month to $12,134/month + benefits

**Industry:** Internet

Equal Opportunity:

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 [email protected].