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Research Scientist Manager – Generative AI – Llama Pre-training

Research Scientist Manager – Generative AI – Llama Pre-training

CompanyMeta
LocationMenlo Park, CA, USA, New York, NY, USA
Salary$177000 – $251000
TypeFull-Time
DegreesPhD
Experience LevelSenior

Requirements

  • 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

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

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 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