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.

Facebook Reality Labs focuses on delivering Facebook's vision through Virtual Reality (VR) and Augmented Reality (AR). The FRL team is driving the state of the art forward with breakthrough work in computer vision, speech, virtual assistant, machine learning, mixed reality, graphics, displays, sensors, and new ways to map the human body among many others.

The On-Device AI Research team in FRL brings together a world class team of researchers working on a range of problems in 3D Reconstruction, Image/Video processing and Real-time Graphics using Deep Learning. Our work is at the core of enabling future AR and VR products. We are seeking exceptional interns with a background in 3D Computer Vision to join our team. We are specifically looking for candidates to work in areas such as 3D Face Reconstruction, Dynamic 3D Surface Reconstruction and Neural View Synthesis.

In this position, you will get exposure to the full stack, from algorithms down to how these algorithms map to the target device. You will work with the research mentors to understand the challenges and build state-of-the-art networks to tackle them and then work with the software/hardware team to deploy these solutions on-device. Our internships are twelve (12) - sixteen (16) weeks long.

Responsibilities

• Research and develop novel Deep Learning based methods in the area of 3D Face Reconstruction.
• Collaborate with other research scientists and software engineers to develop innovative deep learning techniques for vision and/or computational photography use-cases.
• Present the outcomes of the research findings as papers in top tier conferences in the area of CV and Graphics.
  

Minimum Qualification

• Currently has, or is in the process of obtaining, a PhD degree in Computer Science, Statistics or related field.
• Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
• 2+ years of research experience or equivalent graduate research experience in geometric computer vision including object pose estimation, 3D deep learning, 3D Face and Body Reconstruction.
• Programming experience in Python and hands-on experience with frameworks such as PyTorch.
  

Preferred Qualification

• Intent to return to degree-program after the completion of the internship/co-op.
• Proven track record in publishing papers in machine learning and/or computer vision conferences including CVPR, ICCV, ICRA, ISMAR, ECCV, NeurIPS, AAAI, ICLR, TVCG, SIGGRAPH.
• Interpersonal experience: cross-group and cross-culture collaboration.
  

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 accommodations-ext@fb.com.