Facebook Research Scientist, Digital Humans (PhD) in Redmond, Washington
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 Research (FRL-R) brings together a diverse and highly interdisciplinary team of researchers and engineers to create the future of augmented and virtual reality. We are currently seeking researchers with a passion for technology to develop the next generation of digital humans and avatars. The focus of this role includes human shape, motion, and appearance capture, biophysical modeling, simulation and rendering. The position requires a combination of education and experience in computer vision, computer graphics, robotics and machine learning.
Investigate, design and develop novel AI algorithms in areas such as body capture, tracking, reconstruction, semantics, generative models for clothed humans and deformable objects (soft tissue, clothes, hair)
Prototyping, building and analysis of experimental systems
Collaboration with and support of other researchers across various disciplines
Communication of research agenda, progress and results
Currently has, or is in the process of obtaining a PhD in Computer Vision, Graphics, Machine Learning, Robotics, or related field
Experience with computer vision, deep learning, 3D geometry and/or linear algebra
Experience with C, C++, and/or Python
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
Experience with one or more of the following areas: deep learning, developing models for neural human reconstruction, human body shape and pose learning, dynamic shape representation, numerical optimization
Proven track record of achieving results as demonstrated in accepted papers at top computer vision, graphics, machine learning or robotics related journals and conferences such as CVPR, ICCV, ECCV, NeurIPS, SIGGRAPH, ICRA, etc.
Equal Opportunity: 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 email@example.com.
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