FreshRemote.Work

Research Scientist, Generative AI (PhD)

Bellevue, WA | Menlo Park, CA | Seattle, WA | New York, NY | Remote, US

Meta is seeking a Research Scientist to join our new Large Language Model (LLM) Research team. We are looking for recognized experts in generative AI and NLP, with experience in areas like language model evaluation; data processing for pretraining and fine-tuning; responsible LLMs; LLM alignment; reinforcement learning for language model tuning; efficient training and inference; and/or multilingual and multimodal modeling. The ideal candidate will have an interest in producing and applying new science to help us develop and deploy large language models.Research Scientist, Generative AI (PhD) Responsibilities
  • 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.
Minimum Qualifications
  • 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.
Preferred Qualifications
  • 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.
For those who live in or expect to work from California if hired for this position, please click here for additional information. 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.
$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

Regions

North America

Countries

United States

Restrictions

Must obtain work authorization Work authorization must be maintained

Benefits/Perks

Accommodations 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
Skills

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

Experience

2 years

Education

Artificial 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

Timezones

America/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