AI Research Scientist, Computer Vision - Video Intelligence

**Summary:** Meta is seeking an AI Research Scientist to advance computer vision research applied to Facebook Video Intelligence. In this role, you will develop and apply state-of-the-art deep learning and computer vision techniques to understand, analyze, and generate insights from large-scale video content across Meta's platforms. You will work alongside a multidisciplinary team of researchers and engineers to push the boundaries of video understanding, including temporal modeling, action recognition, scene understanding, and multimodal learning, directly shaping how billions of people experience video on Facebook. **Required Skills:** AI Research Scientist, Computer Vision - Video Intelligence Responsibilities: 1. Design and implement novel computer vision and deep learning models for large-scale video understanding tasks including action recognition, temporal segmentation, and scene classification 2. Develop and evaluate multimodal learning approaches that combine visual, audio, and textual signals from video content 3. Build and benchmark video representation learning methods using self-supervised and weakly supervised techniques on large-scale datasets 4. Run controlled experiments to test research hypotheses, analyze results, and make data-driven decisions to guide model development 5. Collaborate with engineering and product teams to translate research advances into production-ready video intelligence features on Facebook 6. Contribute to the design and curation of large-scale video datasets and annotation pipelines to support model training and evaluation 7. Write automated tests and implement monitoring to ensure reliability and performance of deployed video understanding models 8. Communicate research findings through internal technical documentation, presentations, and contributions to peer-reviewed publications 9. Participate in code reviews to maintain code quality and share knowledge of computer vision best practices with peers 10. Identify and address privacy, security, and integrity considerations throughout the video intelligence research and development lifecycle **Minimum Qualifications:** Minimum Qualifications: 11. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta 12. 2+ years of experience in computer vision research, including deep learning approaches applied to video understanding, image recognition, or related visual domains 13. Experience designing, training, and evaluating deep learning models using frameworks such as PyTorch or TensorFlow for video or image tasks 14. Experience working with large-scale datasets, including data preprocessing, augmentation, and evaluation pipelines for visual data 15. Experience implementing and validating research ideas through rigorous experimentation, including ablation studies and quantitative benchmarking 16. Experience communicating technical research findings in written form, such as technical reports, research papers, or design documents **Preferred Qualifications:** Preferred Qualifications: 17. Experience applying self-supervised or weakly supervised learning techniques to large-scale unlabeled video corpora 18. Experience collaborating with cross-functional teams to integrate research models into production systems at scale 19. Research experience in temporal video modeling, optical flow, video generation, or multimodal video-language learning 20. Proven track record of contributions to peer-reviewed venues such as CVPR, ICCV, ECCV, NeurIPS, ICML, or similar conferences **Public Compensation:** $122,000/year to $181,000/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@meta.com.