Research Scientist, Instagram AI

We are the Instagram Recommendation Core ML organization, dedicated to delivering personalized recommendation that maximize both user utility and creator value. We own and optimize the AI brain for the world's most popular app, Instagram, through SoTA AI and machine learning research with a goal to deliver significant top-line impact for Instagram's topline metrics. We focus on advancing AI and ML technologies for all aspects of Recommendation, including ranking, model architecture, feature representation, optimization, and long term value. By consistently integrating cutting-edge AI/ML advancements, we help Meta’s products achieve long-term goals and optimize experience of billions of users. With our growing impact, we’re seeking motivated AI Research Scientists to join our team and drive SOTA research.

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Currently has, or is in the process of obtaining a PhD in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, relevant technical field, or equivalent practical experience. Degree should be completed prior to joining Meta 2+ years of experience holding an industry, faculty, or government researcher or applied researcher position, or related position Research experience in deep learning, reinforcement learning, natural language processing, computer vision, recommendations, ranking, search, or related areas Programming experience in Python and hands-on experience with frameworks such as PyTorch Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment Experience holding an industry, faculty, or government researcher or applied researcher position, or related positions First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, ACL) Experience taking ideas from research to production Experience working and communicating cross functionally in a team environment Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward

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