Research Scientist Intern - Computational Photography (PhD)

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Job description

Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.

Summary

The Computational Photography group in Facebook Reality Labs (FRL) brings 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 Facebook 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 both to create a publishable research project and contribute to new methodologies that can be experienced by billions of people around the globe.

Required Skills

• Research, develop and prototype advanced technologies in the domain of Computer Vision, Computer Graphics, and Machine Learning.
• Deliver research results that are both publishable and have a direct impact on Facebook and/or Oculus products.
• Analyze the efficiency, accuracy, scalability, and stability of currently deployed technologies to identify opportunities for impact through novel research.
• Collaborate with team members throughout the lifetime of a project, from research to prototyping to deploying products.

Minimum Qualification

• Currently is in the process of obtaining a PhD degree in Optical Science or Engineering, Electrical Engineering, Physics, Material Science, Chemistry, or a related field
• 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.
• 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.
• 2+ years of experience with modern C++ and/or Python.
• 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 Qualification

• Intent to return to their degree program after the completion of the internship.
• Strong communication skills and ability to convey research ideas to a broad audience.
• Broad understanding of the full machine vision pipeline from sensors to high-level algorithms.
• Mathematical background and understanding of linear algebra, numerical optimization, probabilistic estimation. Understanding of 3D geometry is preferred but not required.
• Relevant research or software engineering work experiences, including internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).

EOE

Facebook is proud to be an Equal 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. Facebook 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 .