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.
Research Scientist Manager, Generative AI Responsibilities:
- Grow a team of domain experts within Language Foundation 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 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
Want more jobs like this?
Get Data and Analytics jobs in New York, NY delivered to your inbox every week.
- Experience and track of recording in landing large product impacts in a fast-paced environment
- 5+ years of hands on experience in large language model, NLP, and Transformer modeling, in the setting of both research and engineering development
- 3+ years of hands on supporting and leading teams of software engineers and research scientists
- 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
- 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
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.