Facebook Research Scientist, Computer Vision (PhD) in Menlo Park, California
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.
We are seeking world-class computer vision experts to join our teams in developing next generation products and platforms doing research and engineering at scale. We're applying cutting-edge computer vision algorithms to a wide range of media understanding challenges at Facebook.
Develop novel and accurate computer vision algorithms and systems, leveraging deep learning and machine learning on big data resources.
Analyze and improve efficiency, scalability, and stability of various deployed systems.
Collaborate with team members from the level of prototyping to the level of production.
Transfer learning including zero shot learning, attribute learning, and knowledge graphs.
Currently has or is in the process of obtaining a PhD degree.
Interpersonal experience: cross-group and cross-culture collaboration.
Research and/or work experience in machine learning, deep learning, and/or computer vision.
Experience in C/C++.
Proven track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at workshops or conferences such as CVPR, ECCV, ICCV, SIGGRAPH or similar.
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
Deep adversarial networks, image and video forensics.
Cross domain adaptation for rapid model transfer across domains.
Deep graphical modeling.
Explainability in computer vision and AI such as image and video captioning, and causal reasoning.
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 firstname.lastname@example.org.