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 is seeking a Research Scientist to join Facebook AI Research (FAIR), a research organization focused on making significant progress in AI. Individuals in this role are expected to be recognized experts in identified research areas such as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including areas such as deep learning, graphical models, reinforcement learning, computer perception, natural language processing and data representation. The ideal candidate will have a keen interest in producing new science to understand intelligence and technology to make computers more intelligent. This is a new large-scale research effort aimed at coalescing multiple teams to make dramatic improvements in the state-of-the-art for AI for Augmented Reality, and Embodied AI. The chosen candidate will work with a diverse and highly interdisciplinary team of researchers, engineers, interaction designers, product managers as their cross-functional partner, and will have access to cutting edge technology, resources, and research facilities.

Responsibilities

• Design architectures for semantic video understanding.
• Develop methods for training models from multimodal data (video, speech, audio).
• Create algorithms achieving state-of-the-art performance on established benchmarks for object and activity detection, segmentation and tracking.
• Publish research innovations in top computer vision and machine learning conferences.
  

Minimum Qualification

• Currently has or in the process of obtaining a PhD in computer science or related field.
• Experience establishing publication record in the field of video understanding.
• Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
  

Preferred Qualification

• Research experience in one or more of these topics: object detection in video, action classification/detection, temporal segmentation, anticipation/forecasting, human pose estimation, multimodal learning (joint modeling of video + text/audio).
• Research and software engineer experience demonstrated via an internship, work experience, coding competitions.
• First-authored publications at peer-reviewed conferences (e.g. CVPR, ECCV, ICCV, ICML, NeurIPS, or similar).
  

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.