Meta
AI Research Scientist, Language - Generative AI
This role is in Meta's Generative AI organization, focused on advances in AI and the flagship Llama language models. Researchers will extend capabilities of large foundation models, open source high-quality code and reproducible results, bring research to Meta products, publish state-of-the-art research, and work with a broad, interdisciplinary team with access to cutting-edge technology and facilities.
Base pay range:
$177,000.00/yr - $251,000.00/yr
Responsibilities
Work towards long-term ambitious research goals, while identifying intermediate milestones
Influence progress of relevant research communities by producing publications, technical reports, and open source code
Contribute research that can be applied to Meta product development
Lead and collaborate on research projects within a globally based team
Minimum Qualifications
PhD degree in Computer Science, Mathematics, or similar quantitative field
First-author publications at peer-reviewed AI conferences (e.g. ACL, EMNLP, NeurIPS, ICML, ICLR)
Experience in training, fine-tuning, and/or experimenting with foundation models beyond black-box use
Familiarity with one or more deep learning frameworks (e.g. PyTorch, TensorFlow)
Experience to communicate complex research for public audiences of peers
Knowledge in a programming language
Bachelor's degree in Computer Science, Computer Engineering, or relevant technical field, or equivalent practical experience
Preferred Qualifications
Experience in working in an industry research environment
High-impact publications at peer-reviewed AI conferences (e.g. ACL, EMNLP, NeurIPS, ICML, ICLR, ICCV, CVPR), as evidenced by citations
Experience in coordinating the research of PhD students or other researchers
3+ years of experience in AI research beyond completing a PhD
Experience in developing and debugging beyond ML experimentation
About Meta Meta builds technologies that help people connect, find communities, and grow businesses. Meta is committed to equal employment opportunity and affirmative action. We do not discriminate based on race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, veteran status, disability, or other legally protected characteristics. We may consider qualified applicants with criminal histories where allowed by law. Meta participates in the E-Verify program where required.
Meta may use artificial intelligence and machine learning 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 accommodations, please let us know at accommodations-ext@fb.com.
Salary range information:
$177,000/year to $251,000/year
plus bonus, equity, and benefits. Individual compensation is determined by skills, qualifications, experience, and location.
Seniority level
Not Applicable
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Technology, Information and Internet
#J-18808-Ljbffr
Base pay range:
$177,000.00/yr - $251,000.00/yr
Responsibilities
Work towards long-term ambitious research goals, while identifying intermediate milestones
Influence progress of relevant research communities by producing publications, technical reports, and open source code
Contribute research that can be applied to Meta product development
Lead and collaborate on research projects within a globally based team
Minimum Qualifications
PhD degree in Computer Science, Mathematics, or similar quantitative field
First-author publications at peer-reviewed AI conferences (e.g. ACL, EMNLP, NeurIPS, ICML, ICLR)
Experience in training, fine-tuning, and/or experimenting with foundation models beyond black-box use
Familiarity with one or more deep learning frameworks (e.g. PyTorch, TensorFlow)
Experience to communicate complex research for public audiences of peers
Knowledge in a programming language
Bachelor's degree in Computer Science, Computer Engineering, or relevant technical field, or equivalent practical experience
Preferred Qualifications
Experience in working in an industry research environment
High-impact publications at peer-reviewed AI conferences (e.g. ACL, EMNLP, NeurIPS, ICML, ICLR, ICCV, CVPR), as evidenced by citations
Experience in coordinating the research of PhD students or other researchers
3+ years of experience in AI research beyond completing a PhD
Experience in developing and debugging beyond ML experimentation
About Meta Meta builds technologies that help people connect, find communities, and grow businesses. Meta is committed to equal employment opportunity and affirmative action. We do not discriminate based on race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, veteran status, disability, or other legally protected characteristics. We may consider qualified applicants with criminal histories where allowed by law. Meta participates in the E-Verify program where required.
Meta may use artificial intelligence and machine learning 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 accommodations, please let us know at accommodations-ext@fb.com.
Salary range information:
$177,000/year to $251,000/year
plus bonus, equity, and benefits. Individual compensation is determined by skills, qualifications, experience, and location.
Seniority level
Not Applicable
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Technology, Information and Internet
#J-18808-Ljbffr