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Applied AI Research Scientist, 3D Computer Vision – XR Core-AI Undefined
Meta is seeking a research scientist to join our Generative AI organization. In this role, you will have the opportunity to make a significant contribution to the field of image generation by developing novel models and algorithms. These models will have a direct impact on Meta’s family of apps with 3 billion plus users. You will design and develop cutting-edge computer vision models and deploy models to production to solve real world problems. At Meta, you work alongside and learn from top minds in the field and have access to uniquely large scale computation resources. Join us for this exciting and rewarding role and we are hiring in multiple locations.
Applied AI Research Scientist, 3D Computer Vision – XR Core-AI Responsibilities:
Minimum Qualifications:
Preferred Qualifications:
About Meta:
Applied AI Research Scientist, 3D Computer Vision – XR Core-AI Responsibilities:
- Designing and developing Vision-and-Language models in Generative AI, focusing on video generation, transformation and editing
- Consistently and sustainably advance the state of AI, including setting and executing against roadmaps for 6-month plus timeframes
- Work towards long-term ambitious research goals, identifying intermediate milestones
- Lead other researchers and engineers to solve critical problems and provide mentorship to members
- Work and collaborate with cross-functional teams, build relationships with stakeholders
- Define use cases and develop methodology and benchmarks to evaluate different approaches
Minimum Qualifications:
- Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- Ph.D degree in Computer Science, Computer Engineering and other related fields
- Published in computer vision venues, such as CVPR, ECCV, ICCV, NeurIPS, SIGGRAPH, ACL, EMNLP, NACCL, ICLR.
- Experience with modern computer vision techniques and deep learning algorithms
- Fluent in Python and PyTorch
Preferred Qualifications:
- 2+ years of Industry or academic research experience on cutting edge computer vision, natural language processing, and multi-modal learning technologies
- Experience with bringing research to production on real-world applications
- Experience with generative models, such as diffusion models and GAN models.
- Experience with large-scale distributed system and working with large amounts of data
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.
