The Generative AI Org at Meta is seeking a strong technical leader to join our team and work on the next generation of large language models, particularly focusing on building new capabilities for Llama inspired by internal use cases. As a technical leader, you will play a critical role in building our series of efficient Llama models and building new capabilities on top of them. You will work with internal clients to understand their needs and push the boundaries of text LLMs via breakthroughs in several capabilities.
Research Scientist Manager, Generative AI - Llama Applied LLMs Responsibilities:
Drive efficiency gains on training and deployment of LLMs through novel techniques
Drive end-to-end development of LLMs models, including data sourcing and curation, filtering, experiment design, evaluation and more
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 deeply involved in the research community, both understanding trends, and setting them
Minimum Qualifications:
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 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 where the field of generative AI will go
Experience of 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
Preferred Qualifications:
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
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
$177,000/year to $251,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
