Karkidi

Research Scientist Manager (Llama team) Responsibilities. Grow a team of domain experts within LLM Research of Generative AI. Extensive hands on experience in large language model, NLP, and Transformer modeling, in the setting of both research and engineering development. PhD in deep learning, artificial intelligence, and/or related technical field. Experience and knowledge of ML frameworks like PyTorch, TensorFlow, etc.

research scientist

The Generative AI Org at Meta is seeking a strong technical leader to join our team and work on the next generation of Llama models. As a technical leader of our team, you will play a critical role in building state of the art LLMs. We have the opportunity to help people everywhere get stuff done better and faster. This year we open sourced Llama 2 and launched Meta AI. We will continue investing here to improve model quality and model capabilities.<br/><br/>Do you have the following skills, experience and drive to succeed in this role Find out below.
Research Scientist Manager (Llama team) Responsibilities
Grow a team of domain experts within LLM Research of Generative AI
Develop technical vision, long-term strategy and set direction for the team and the organization
Drive execution of developing models and systems
Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects
Remain up-to-date on ongoing research and development activities in the team, help work through technical challenges, and be involved in design decisions
Minimum Qualifications
Experience in leading research projects
Extensive hands on experience in large language model, NLP, and Transformer modeling, in the setting of both research and engineering development
Extensive experience supporting and leading teams of software engineers and research scientists
Proven technical vision in where the field of generative AI
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 training LLMs<br/><br/>#J-18808-Ljbffr

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