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The Reality Labs organization at Meta is helping more people around the world come together and connect through world-class Augmented and Virtual reality (AR/VR) products. With global departments dedicated to research and development, AR/VR is committed to driving the state of the art forward through relentless innovation. The potential to change the world is immense - and we’re just getting started.
Our team is researching and developing state of the art Computer Vision and Generative AI technologies for solving challenges that bridge virtual and real worlds.
We are seeking a Research Scientist to join our team.
Individuals in this role are expected to be recognized experts in Artificial Intelligence and Machine Learning, particularly in areas such as Deep Learning, Computer Vision, and GenAI.
As a Research Scientist, you will help us develop innovative models and algorithms and apply them to large-scale production Computer Vision tasks.
Research Scientist, Computer Vision Responsibilities
- Help build the next generation of generative AI/neural rendering models.
- Harness passion for technology and propose new research roadmaps which can lead to the creation of new models that can be applied to multiple applications.
- Make use of advanced knowledge in designing novel deep networks.
- Without direct assistance, design lightweight deep networks that can be used on-device
- Employ deep knowledge in the following areas: data processing, neural rendering, generative AI, sparse networks.
- Disseminate findings of research by publishing papers in high impact conferences
Minimum Qualifications
- PhD degree in Computer Science, Computer Engineering, Computer Graphics, Applied Sciences, Mathematics, Physics, or related field
- Experience in Python, PyTorch
- Track record of publishing papers in high quality journal and conferences such as CVPR, ECCV/ICCV, SIGGRAPH, NIPS.
- 1+ years of work experience in a university or industry, in a role with primary emphasis on AI research
Preferred Qualifications
- Experience with generative AI/neural rendering models.
- Experience with 3D Computer Vision.
- Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
- Experience with designing lightweight deep networks that can be used on-device.
Locations
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 committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.
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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, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. We may use your information to maintain the safety and security of Meta, its employees, and others as required or permitted by law. You may view Meta Pay Transparency Policy, Equal Employment Opportunity is the Law notice, and Notice to Applicants for Employment and Employees by clicking on their corresponding links. Additionally, Meta participates in the E-Verify program in certain locations, as required by law.
Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-ext@fb.com.
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