Research Scientist Manager - Monetization Ranking AI

About the position

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.

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

Requirements

• 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

Nice-to-haves

• 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

Benefits

• $177,000/year to $251,000/year + bonus + equity + benefits
• Individual compensation is determined by skills, qualifications, experience, and location
• In addition to base compensation, Meta offers benefits