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.
Come invent the future. Facebook Reality Labs Research (FRL-R) brings together world-class experts to develop next-generation systems for virtual, augmented and mixed reality experiences. We are currently seeking a Research Scientist with a passion for technology to develop world-leading mixed reality technologies. The focus of this role is on 3D computational photography, computational imaging, and neural scene capture, reconstruction, and rendering. The position requires a combination of experience in 3D computer vision, computer graphics, and machine learning. The ideal candidate would be able to begin employment by early 2022.
Responsibilities
- Conceive and develop computer vision algorithms for 3D computational photography, neural rendering, scene reconstruction, computational imaging, etc.
- Implement proof-of-concept prototypes that re-define the state-of-the-art in virtual and augmented reality.
- Lead and contribute to cutting-edge research that results in industry-leading tech demos and/or publications.
- Collaborate with cross-disciplinary research and engineering teams.
Minimum Qualification
- Currently has, or is in the process of obtaining, a PhD degree or completing a postdoctoral assignment in the field of deep learning, computer vision, computer graphics, computational imaging, or related technical fields.
- Contributed (as the first author) to publications on machine learning for 3D computer vision or computer graphics, at leading workshops or conferences such as CVPR, ICCV, SIGGRAPH, NeurIPS, etc.
- Machine learning experience in computational photography, neural rendering, 3D reconstruction, computational imaging, or related topics.
- Mathematical knowledge in linear algebra, numerical optimization, and probabilistic estimation.
- 3+ years experience with C++.
- 3+ years experience with deep learning software libraries such as PyTorch or TensorFlow.
- 3+ years experience with scientific programming languages such as Python, MATLAB or similar.
- Demonstrated software engineering experience within a complex codebase via an internship, work experience, coding competitions, or widely used contributions to open source repositories such as GitHub.
- 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
- Broad understanding of the full machine vision pipeline from sensors to high-level algorithms.
- Experience with computational imaging software/hardware systems co-design.
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.