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.

The Authentic Presence Capabilities team within Facebook Reality Labs develops machine perception technologies for human understanding that power AR Sharing experiences across the Facebook family of apps. We work full-stack across applied research and development of algorithms, performance optimizations for target hardware, and production deployments into target devices and apps. We use state of the art methods in computer vision and machine learning to build novel generative (GANs, VAE, etc.), segmentation, object detection, human tracking models. We are responsible for building the next generation AR experiences for Facebook’s family of apps that will fundamentally change the way we interact with and experience the world.

Responsibilities

• Lead Research to advance the science and technology in Computer Vision, Graphics, Machine Learning, AR, VR, and Computational Photography
• Drive end to end data collection/annotation, model training and model evaluation
• Work closely with partner teams to propose and prototype new AR experiences
  

Minimum Qualification

• Currently has, or is in the process of obtaining, a PhD in Computer Vision, Computer Science, or related field
• Applied research experience in deep learning, generative models (GANs, VAE, etc.), segmentation, object detection, human tracking
• 3+ years of experience with Python and/or C++ programming languages
• Interpersonal experience: cross-group and cross-culture collaboration
• Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
  

Preferred Qualification

• Proven track record of achieving significant results as demonstrated by grants, or fellowships, as well as first-authored publications in CVPR, NIPS, ECCV, ICCV, ICLR
• Experience with Machine Learning Principles such as Deep Learning, Computer Vision, etc. are preferred
• Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open-source repositories (e.g., GitHub)
  

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.