Research Scientist, Generative AI (PhD)
Bellevue, WA | Menlo Park, CA | Seattle, WA | New York, NY | Remote, US
- Lead, collaborate, and execute on research that pushes forward the state of the art in large language model research.
- Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.
- Work with a large and globally distributed team.
- Contribute to publications and open-sourcing efforts.
- Help identify long-term ambitious research goals as well as intermediate milestones.
- Prioritize research that can be applied to Meta's product development.
- Play a significant role in healthy cross-functional collaboration.
- Currently has, or is in the process of obtaining a PhD degree in Computer Science, Artificial Intelligence, Data Science, or related technical fields.
- Experience writing software and executing complex experiments involving large AI models and datasets.
- Experience in developing interactive solutions for computer vision, natural language processing, or computer graphics.
- Direct experience in generative AI and LLM research.
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
- Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
- 2+ years of work experience in a university or industry lab, in a role with primary emphasis on AI research.
- First author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).
- Experience in developing and debugging in Python.
- Experience working with PyTorch or TensorFlow.
$117,000/year to $173,000/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.
Equal Employment Opportunity and Affirmative Action 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, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@meta.com. Apply
Job Profile
Must obtain work authorization Work authorization must be maintained
Benefits/PerksAccommodations Benefits Bonus Comprehensive benefits Cross-functional collaboration Equity Individual compensation Long term conditions Mental health conditions Pregnancy-related support Religious beliefs
Tasks- Build
- Collaborate on experiments
- Contribute to publications
- Debugging
- Design experimental details
- Develop
- Lead research
- Organize results
- Research
- Run evaluations
AI Artificial Intelligence Collaboration Computer Engineering Computer graphics Computer Science Computer Vision Cross-functional Collaboration Data processing Data Science Debugging Developing Efficient training Engineering Experiments Fine Tuning Generative AI Graphics Identity Inference Language model evaluation LLM LLM alignment Modeling Multilingual modeling Multimodal modeling Natural Language Processing NLP Physics Pretraining Product Development Python PyTorch Recruiting Reinforcement Learning Research Software Development Sourcing Technical TensorFlow Virtual reality
Experience2 years
EducationArtificial Intelligence Bachelor Bachelor's Bachelor's degree Bachelor's degree in Computer Science Computer Engineering Computer Science Data Science Engineering Equivalent Equivalent practical experience Ph.D. Physics Relevant technical field Technical field Technical Fields Technology
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9