Research Scientist Manager - AI

The Monetization Ranking AI Research at Meta is seeking a technical leader to join our team and work on the next generation of RecSys for ads recommendation. AI for monetization is a top priority for the company because of its potential to drive significant revenue growth through improving ads performance. Our team is taking the lead in this space with a vision to enable fully automated and data-driven ad optimization through efficient LLM.

Qualifications: 5+ years of hands-on experience in computer vision and/or NLP, in the setting of both research and engineering development Experience and track of recording in landing large research and/or product impacts in a fast-paced environment 3+ years of hands-on supporting and leading teams of research scientists and software engineers Proven technical vision in the field of generative AI Experience and knowledge of model efficiency techniques (quantization, distillation, etc.) Experience with cross functional collaboration with product and platform teams, as well as non-engineering functions Demonstrated experience recruiting, building, structuring, leading technical organizations, including performance management PhD in speech/language/vision deep learning, artificial intelligence, and/or related technical field Experience and knowledge of ML frameworks like PyTorch. Experience and knowledge of large-scale data platforms Experience and knowledge of training diffusion based image/video/speech generative models, fine-tuning on datasets.

Responsibilities: Drive efficiency gains on training, fine tuning, and deployment of diffusion based image/video generative models through novel techniques Drive end-to-end development of diffusion based image/video generative models, including data sourcing and curating, filtering, experiment design, evaluation and more Lead a team of applied researchers and software engineers to drive revenue for Meta Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects Remain up-to-date on ongoing research and software development activities in the team, help work through technical challenges, and be involved in design decisions Remain involved in the research community, both understanding trends, and setting them