The Generative AI Org at Meta is seeking a strong technical leader to join our team and work on the next generation of LLM. As a technical leader of our team, you will play a critical role in building Meta AI. We have the opportunity to help people everywhere get stuff done better and faster. This year we launched Meta AI in our chat apps and on Ray-Ban Meta Smart Glasses, bringing our assistant to more people. We will continue investing here to improve usability and model quality, while also innovating in select new domains. We will be building an assistant that is social, more capable, more personal, and more ubiquitous.

Manager, Research Scientist - Generative AI Responsibilities

• Grow a team of domain experts within the Meta AI pillar of the Generative AI org


• Develop technical vision, long-term strategy and set direction for the team and the organization


• Drive execution of developing models and systems that are crucial to the end user experience


• Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects


• Remain up-to-date on ongoing software development activities in the team, help work through technical challenges, and be involved in design decisions

Minimum Qualifications

• Experience and track of record in landing large product impacts in a fast-paced environment


• 5+ years of hands on experience in large language model, NLP, and/or multimodal modeling, in the setting of both research and engineering development


• 5+ years of hands on supporting and leading teams of software engineers and research scientists


• 2+ years of experience in building decent size organizations and supporting managers


• Proven technical vision in where the field of generative AI will go


• Experience in developing large-scale AI services


• 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

Preferred Qualifications

• PhD in deep learning, artificial intelligence, and/or related technical field


• Experience and knowledge of ML frameworks like PyTorch, TensorFlow, etc.


• Experience and knowledge of working with LLM frameworks like LangChain


• Experience and knowledge of training LLMs especially LLaMa


• Experience and knowledge of multi-modal modeling and computer vision

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