**Summary:** The XR Hyperreal group in Reality Labs (RL) brings together a world-class R&D team of researchers and engineers to build innovative AR/VR experiences. We work at the intersection of Computer Vision, Graphics, and Machine Learning. The aim of this role is to develop and advance the state-of-the-art technologies in bringing immersive AR/VR experiences. The goal of the internship is to contribute to a research project for new methodologies that can be experienced by billions of people around the globe. Our teams' efforts are demonstrated in the recent Meta Connect (27:10 - 28:15 in the video): 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 Reconstruction / Generative AI (PhD) Responsibilities: 1. Research, develop and prototype advanced technologies in the domain of Computer Vision, Graphics, and Machine Learning. 2. Deliver research results that are both publishable and have a direct impact on Meta products. 3. Analyze the efficiency, accuracy, scalability, and stability of currently deployed technologies to identify opportunities for impact through novel research. 4. Collaborate with team members throughout the lifetime of a project. **Minimum Qualifications:** Minimum Qualifications: 5. Currently is in the process of obtaining a PhD degree in Computer Science, Electrical Engineering, or related fields 6. 1+ year of experience in one or more areas of Computer Vision, Computer Graphics, and Machine Learning 7. 2+ years of experience with modern C++ and/or Python 8. 1+ year of experience with deep learning frameworks such as PyTorch 9. Must obtain full-time work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment for a minimum of 12 weeks **Preferred Qualifications:** Preferred Qualifications: 10. Intent to return to their degree program after the completion of the internship 11. Interpersonal experience: cross-group and cross-culture collaboration 12. Strong communication skills and ability to convey research ideas to a broad audience 13. Broad understanding of the full machine vision pipeline from sensors to high-level algorithms 14. Mathematical background and understanding of linear algebra, numerical optimization, probabilistic estimation, understanding of 3D geometry 15. Proficient in the fields related to 3D vision, sparse/dense reconstruction, and generative AI **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 accommodations-ext@fb.com.
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