Meta
AI Research Scientist, Language - Generative AI
$154K–$217K
New York, NY · Full-time · Posted Jun 25, 2024
- Experience
- 2+ years in a university, industry, or government lab in a role primarily focused on AI research; experience holding an industry, faculty, or government researcher position.
- Education
- Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience; PhD in AI, computer science, or related technical fields.
- Visa sponsorship
- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
About the job
Lead and conduct research on large language models, including experiments, evaluations, publications, and work supporting responsible product development.
What you'll do
- Lead, collaborate on, and execute research advancing large language models; design experiments, write reusable code, run evaluations, and organize results.
- Contribute to publications and open-source work, and help set research goals and milestones.
- Mentor team members and support cross-functional collaboration and research applicable to Meta products.
What they ask for
- Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience; PhD in AI, computer science, or a related technical field.
- Experience in an industry, faculty, or government researcher position, including 2+ years in a university, industry, or government lab with primary emphasis on AI research.
- Direct generative AI and LLM research experience, software experience with large AI models and datasets, and Python development and debugging experience.
- Publications in machine learning, including first-author publications at peer-reviewed AI conferences; must obtain and maintain work authorization in the country of employment.
Pay
$154,000/year to $217,000/year (base salary)
Tools
Python
AI focus
Research on LLM alignment, multilingual modeling, code generation, responsible AI, model controllability, and generative AI; develop and responsibly release large language models.
Model-written summary · the original posting is authoritative