**Summary:** GenAI is building out world class computer vision models and datasets. As part of this team, you will be focused on designing new computer vision algorithms capable of powering the next generation of generative models. You will work closely with other researchers to push forward novel research and develop new techniques for computer vision and generative image and video models. **Required Skills:** Applied Research Scientist, Computer Vision Responsibilities: 1. Lead the design and development of novel computer vision and machine learning algorithms 2. Collaborate with cross-functional engineering and research teams in computer vision, machine learning, and graphics to enable next-generation AI products based on cutting edge research **Minimum Qualifications:** Minimum Qualifications: 3. Research concentration in areas such as object detection, segmentation, and tracking 2D and 3D key point / pose estimation and surface reconstruction, depth estimation, generative methods such as GANs, photorealistic rendering 4. Experience with modern deep learning frameworks such as pytorch. 5. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. 6. Proven track record delivering computer vision systems used in production applications **Preferred Qualifications:** Preferred Qualifications: 7. 3+ years of industry experience in areas such as object detection, segmentation, and tracking 2D and 3D key point/pose estimation and surface reconstruction, depth estimation, generative methods, such as GANs, photorealistic rendering 8. 3+ years of industry experience with deploying research ideas to production with neural networks (convolutional, recurrent, GANs) on large scale data 9. Experience with optimizing model architectures and algorithms for CPU/GPU, mobile, and other types of specialized hardware 10. PhD degree in Computer Science, Computer Vision, Machine Learning, Robotics, or related technical field **Public Compensation:** $147,000/year to $208,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** 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.