Address
Form of workMeta Reality Labs is dedicated to the research and development required to bring virtual and augmented reality to billions of people around the world. At the lab, we aspire to a vision of social VR and AR, where people are able to interact with each other across distances in a way that is indistinguishable from in-person interactions. We are looking for an exceptional researcher with a proven track record of working at the intersection of Computer Vision, Machine Learning and Graphics as well as an outstanding software engineer who can prototype invented algorithms. As a Research Scientist at Meta Reality Lab, you will pursue research, and work with other researchers and engineers to solve challenges at the forefront of the field to transform virtual reality from dream to reality. We're looking for a creative researcher to usher in the next era of digital communication technology by solving open and exciting Computer Vision problems.
- Leading a team of experts and setting the research agenda
- Influence and drive strategy for long-term ambitious research to advance digital humans
- Plan and execute cutting-edge research to advance the state-of-the-art in digital humans
- Research, develop, and prototype advanced neural rendering approaches for digital humans
- Participate in cutting edge research in Computer Vision, graphics and machine learning
- Develop efficient deep neural network models for digital humans
- Contributing research that can be applied to product development
- Publish research results in top-tier journals and at leading international conferences
- Make the company better through engaging in cross-company efforts like recruiting, cross-functional partnerships, diversity & inclusion initiatives, or site initiatives
Minimum Qualifications:
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- 5+ years of work experience in a faculty, industry, or government research position with primary emphasis on digital humans
- PhD in the field of Computer Vision, computer graphics, machine learning or a related field
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading conferences (e.g., NIPS, ICLR, ICML, SIGGRAPH, CVPR, ECCV and ICCV) or journals (e.g., PAMI, IJCV, JMLR, ToG)
- Experience building and executing on long-term research strategies
- Experience with deep learning tools (e.g. PyTorch, NumPy)
- Professional expertise and exposure to the full machine vision pipeline from sensors to algorithms
Preferred Qualifications:
- 10+ years of work experience in a faculty, industry, or government research position with primary emphasis on digital humans
- Mathematical background and understanding of numerical optimization, linear algebra, probabilistic estimation and 3D geometry
- Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
- Track record of translating research into business impact
- Experience and/or interest in managing research teams in an industrial setting
- Interpersonal experience: cross-group and cross-culture collaboration
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment 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. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta 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.
Meta 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.
