Summary:

Reality Labs (RL) teams bring together a world-class R&D team of researchers, and engineers to build innovative photo, video, and AR/VR experiences. We work on technologies that ship across all Meta surfaces ranging from Facebook to Instagram to the AR/VR Oculus products. We work at the intersection of Computer Vision, Computer Graphics, and Machine Learning. The aim of this role is to develop and advance the state-of-the-art in computational photography. The goal of the internship is to contribute to a research project and contribute to new methodologies that can be experienced by billions of people around the globe.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, Computational Photography (PhD) Responsibilities:

1. Research, develop and prototype advanced technologies in the domain of Computer Vision, Computer Graphics, and Machine Learning.

2. Deliver research results that are both publishable and have a direct impact on Facebook and/or Oculus 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, from research to prototyping to deploying products.

Minimum Qualifications:

Minimum Qualifications:

5. Currently is in the process of obtaining a PhD degree in computer science, electrical engineering, or related fields

6. 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.

7. 1+ year of experience in one or more areas of Computer Science, such as Computer Vision, Machine Learning, Computer Graphics, Image Processing, and Computational Photography.

8. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as co-authored publications at top-tier conferences such as CVPR, ECCV, ICCV, SIGGRAPH, SIGGRAPH Asia, NeurIPS, ICLR, ICML, etc.

9. 2+ years of experience with modern C++ and/or Python.

10. 1+ year of experience with deep learning frameworks such as PyTorch.

Preferred Qualifications:

Preferred Qualifications:

11. Intent to return to their degree program after the completion of the internship

12. Interpersonal experience: cross-group and cross-culture collaboration.

13. Strong communication skills and ability to convey research ideas to a broad audience.

14. Broad understanding of the full machine vision pipeline from sensors to high-level algorithms.

15. Mathematical background and understanding of linear algebra, numerical optimization, probabilistic estimation, Understanding of 3D geometry

16. Relevant research or software engineering work experiences, including internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).

Public Compensation:

$7,500/month to $11,333/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.