Research Scientist Manager, Generative AI - Llama Pre-training

The Generative AI organization at Meta is seeking a Research Scientist Manager to join our team and work on the next generation of large language models, particularly focusing on pre-training and mid-training data. As a Research Scientist Manager, you will play a critical role in building our series of Llama models and setting direction from the earliest stages, with a focus on data including curation, ablations, scaling laws, and defining new tasks (e.g. reasoning, coding). Data is the single largest lever we have to improving our models.

Research Scientist Manager, Generative AI - Llama Pre-training Responsibilities:

• Drive end-to-end development of large language models, including data sourcing and curation, filtering, experiment design, evaluation and more
• Drive efficiency gains on training and deployment of LLMs through novel techniques
• Lead a team of applied researchers to democratize Llama for Meta's users
• 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

• 5+ years of hands-on experience in large language model, NLP, and Transformer modeling, in the setting of both research and engineering development
• Experience and track record of 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 where the field of generative AI will go
• Experience of and knowledge of data curation techniques (training set preparation, ablation experiments, etc.)
• Experience with cross functional collaboration with other teams including non-engineering functions
• Demonstrated experience recruiting, building, structuring, leading technical organizations, including performance management

• 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 large-scale data platforms such as Spark, Hive, etc.
• Experience and knowledge of working with LLM frameworks like LangChain
• Experience and knowledge of training LLMs, fine-tuning on datasets, especially Llama