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Research Scientist - Generative AI
MetaMenlo Park, United Statesfull_timeVerifiedPosted 28 Jul 2025
💰 $173,000/yr($117,000/yr – $173,000/yr)
About the role
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 Responsibilities
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 Meta is proud to be an Equal Employment Opportunity 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 accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistan
- Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results
- Contribute to publications and open-sourcing efforts
- Work with a large team
- Help identify long-term ambitious research goals as well as intermediate milestones
- Prioritize research that can be applied to Meta's product development
- Mentor other team members. Play a significant role in healthy cross-functional collaboration
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- A PhD in AI, computer science, data science, or related technical fields
- Experience holding an industry, faculty, or government researcher position
- Publications in machine learning
- Experience writing software and executing complex experiments involving large AI models and datasets
- 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+ year(s) of work experience in a university, industry, or government lab, in a role with primary emphasis on AI research.
- Direct experience in generative AI and LLM research.
- Experience in developing and debugging in Python.
- First author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).
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 Meta is proud to be an Equal Employment Opportunity 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 accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistan
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