CrawlJobs Logo

Foundational AI Research Scientist - FAIR

United States, Bellevue 154000.00 - 217000.00 USD / Year · Job Posted January 26, 2026
Apply Position
Job Link Share

Job Description

Meta is seeking Research Scientists to join its Fundamental AI Research (FAIR) organization, focused on making significant advances in AI. The team is focused on industrial leading research on building new architectures and training paradigms to push the frontier of advanced machine intelligence. Individuals in this role are expected to be recognized experts in identified research areas such as artificial intelligence, machine learning, computational statistics, and applied mathematics. Researchers will drive impact by: (1) publishing state-of-the-art research papers, (2) open sourcing high quality code and reproducible results for the community, and (3) bringing the latest research to Meta products for connecting billions of users. They will work with an interdisciplinary team of scientists, engineers, and cross-functional partners, and will have access to cutting edge technology, resources, and research facilities.

Job Responsibility

  • Perform research that enables learning the semantics of data (images, video, text, audio, and other modalities)
  • Perform research to advance the science and technology of intelligent machines
  • Work towards long-term ambitious research goals, while identifying intermediate milestones
  • Influence progress of relevant research communities by producing publications
  • Open source high quality code and produce reproducible research

Requirements

  • 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
  • First-authored publications at peer-reviewed conferences, such as ICML, NeuRIPS, ICLR, ACL, EMNLP, and other similar venues, reflecting experience in LLM pretraining
  • 1+ years experience holding an industry, postdoctoral, faculty, or government researcher position
  • Research background in machine learning, artificial intelligence, computational statistics, applied mathematics, or related areas
  • Experience in developing and debugging in Python or similar programming languages
  • Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

Nice to have

  • Research and engineering experience demonstrated via publications, grants, fellowships, patents, internships, work experience, open source code, and / or coding competitions
  • Experience collaborating in a team environment on research projects
  • Experience in developing optimization algorithms and theory, new architectures, and generative AI

What we offer

  • bonus
  • equity
  • benefits

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Foundational AI Research Scientist - FAIR

8 matching positions

AI Research Scientist, Media Data Research - MSL FAIR

Meta is seeking AI research scientists to help us build the data foundation for ...
Location
Location
United States , Menlo Park
Salary
Salary:
154000.00 - 217000.00 USD / Year
meta.com Logo
Meta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • PhD in Computer Science or a related technical field
  • 1+ year of industry research experience in LLM/LMM, computer vision, or related AI/ML models
  • Experience owning and/or driving complex technical projects from end-to-end
  • Practical experience with multimodal pre-training or mid-training data curation for large media perception or generation models
  • Published research in leading peer-reviewed conferences (e.g., ACL, NeurIPS, ICML, ICLR, AAAI, KDD, CVPR, ICCV) and/or demonstrated significant industry influence in the field of AI
Job Responsibility
Job Responsibility
  • Collaborate with cross-functional teams to develop Meta’s next foundational models
  • Advance our understanding of data research, such as how to overcome data walls and how best to create synthetic data
  • Fundamentally improve our data velocity across workflows and projects by contributing to quality in data tooling
  • Execute on high priority projects in pre-training, mid-training, or post-training data curation
  • Apply specialized expertise in video/image generation, video/image perception, OCR, data scaling laws, or data mixing
  • Lead complex technical projects end-to-end
What we offer
What we offer
  • bonus
  • equity
  • benefits
Read More
Arrow Right

AI Research Scientist, Text Data Research - MSL FAIR

Meta is seeking AI research scientists to help us build the data foundation for ...
Location
Location
United States , Menlo Park
Salary
Salary:
154000.00 - 217000.00 USD / Year
meta.com Logo
Meta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • PhD in Computer Science or a related technical field
  • 1+ year of industry research experience in LLM/NLP or related AI/ML models
  • Experience owning and/or driving complex technical projects from end-to-end
  • Practical experience with pre-training or mid-training data curation for large foundational models and experience working with organic, synthetic, agentic, or reasoning data for LLMs
  • Published research in leading peer-reviewed conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP) and/or demonstrated significant industry influence in the field of AI
Job Responsibility
Job Responsibility
  • Collaborate with cross-functional teams to develop Meta’s next foundational models
  • Advance our understanding of data research, such as how to overcome data walls and how best to create synthetic data
  • Architect efficient and scalable data curation systems and pipelines
  • Fundamentally improve our data velocity across workflows and projects by contributing to the advancement of data tooling
  • Execute on high priority projects in pre-training, mid-training, or post-training data curation
  • Apply specialized expertise in agentic data, synthetic data, reasoning data, web parser, coding data, data scaling laws, or datamix optimization
  • Lead complex technical projects end-to-end
What we offer
What we offer
  • bonus
  • equity
  • benefits
Read More
Arrow Right

AI Research Scientist, Media Data Research - MSL FAIR

Meta is seeking AI research scientists to help us build the data foundation for ...
Location
Location
United States , Bellevue
Salary
Salary:
122000.00 - 181000.00 USD / Year
meta.com Logo
Meta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 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
  • PhD in Computer Science or a related technical field, plus 1+ years of industry research experience in LLM/LMM, computer vision, or related AI/ML models
  • Published research in leading peer-reviewed conferences (e.g., ACL, NeurIPS, ICML, ICLR, AAAI, KDD, CVPR, ICCV) and/or demonstrated significant industry influence in the field of AI
  • Experience owning and/or driving complex technical projects from end-to-end
  • Practical experience with multimodal pre-training or mid-training data curation for large media perception or generation models
Job Responsibility
Job Responsibility
  • Collaborate with cross-functional teams to develop Meta’s next foundational models
  • Advance our understanding of data research, such as how to overcome data walls and how best to create synthetic data
  • Fundamentally improve our data velocity across workflows and projects by contributing to innovation in data tooling
  • Execute on high priority projects in pre-training, mid-training, or post-training data curation
  • Apply specialized expertise in video/image generation, video/image perception, OCR, data scaling laws, or data mixing
  • Lead complex technical projects end-to-end
What we offer
What we offer
  • bonus
  • equity
  • benefits
Read More
Arrow Right

AI Research Scientist, Text Data Research - MSL FAIR

Meta is seeking AI research scientists to help us build the data foundation for ...
Location
Location
United States , Menlo Park
Salary
Salary:
184000.00 - 257000.00 USD / Year
meta.com Logo
Meta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • PhD in Computer Science or a related technical field
  • 2+ years of industry research experience in LLM/NLP or related AI/ML models
  • Experience as a formal technical lead, leading major technical initiatives with cross-functional impact, and/or influencing strategy across multiple teams
  • Practical experience with pre-training or mid-training data curation for large foundational models and experience working with organic, synthetic, agentic, or reasoning data for LLMs
  • Published research in leading peer-reviewed conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP) and/or demonstrated significant industry influence in the field of AI
Job Responsibility
Job Responsibility
  • Collaborate with cross-functional teams to develop Meta’s next foundational models
  • Advance our understanding of data research, such as how to overcome data walls and how best to create synthetic data
  • Fundamentally improve our data velocity across workflows and projects by contributing to the advancement of data tooling
  • Architect efficient and scalable data curation systems and pipelines
  • Execute on high priority projects in pre-training, mid-training, or post-training data curation
  • Apply specialized expertise in agentic data, synthetic data, reasoning data, web parser, coding data, data scaling laws, or datamix optimization
  • Lead complex technical projects end-to-end
What we offer
What we offer
  • bonus
  • equity
  • benefits
Read More
Arrow Right

AI Research Scientist (Technical Leadership), Data Research - MSL FAIR

Meta is seeking research scientists to help us build the data foundation for Met...
Location
Location
United States , Menlo Park
Salary
Salary:
219000.00 - 301000.00 USD / Year
meta.com Logo
Meta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • PhD in Computer Science or a related technical field
  • 4+ years of industry research experience in NLP or CV
  • 4+ years as a formal technical lead experience
  • Experience leading major technical initiatives with cross-functional impact and influencing strategy across multiple teams
  • Practical experience with multimodal pre-training or mid-training data curation for large language models, media perception, or media generation models
  • Published research in leading peer-reviewed conferences (e.g., ACL, NeurIPS, ICML, ICLR, AAAI, KDD, CVPR, ICCV) and/or demonstrated significant industry influence in the field of AI
Job Responsibility
Job Responsibility
  • Collaborate with cross-functional teams to develop Meta’s next foundational models
  • Advance our understanding of data research, such as how to overcome data walls and how best to create synthetic data
  • Architect efficient and scalable data curation systems and pipelines
  • Fundamentally improve our data velocity across workflows and projects by contributing to the advancement of data tooling
  • Execute on high priority projects in pre-training, mid-training, or post-training data curation
  • Apply specialized expertise in video/image generation, video/image perception, OCR, agentic data, synthetic data, reasoning data, web parser, coding data, data scaling laws, or datamix optimization
  • Lead complex technical projects end-to-end
What we offer
What we offer
  • bonus
  • equity
  • benefits
Read More
Arrow Right

AI Research Scientist - MSL FAIR Foundations

Meta is seeking Research Scientists to join the Evaluations team within Meta Sup...
Location
Location
United States , Menlo Park
Salary
Salary:
154000.00 - 217000.00 USD / Year
meta.com Logo
Meta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Ph.D. in Computer Science, Machine Learning, or a related technical field
  • 3+ years of experience in machine learning research, with a focus on evaluation, deep learning, or related areas
  • Demonstrated ability to execute on technical research projects from conception to production
  • Effective communication skills and experience collaborating with technical leadership
Job Responsibility
Job Responsibility
  • Design novel benchmarks and evaluation methodologies for frontier AI capabilities
  • Contribute to evaluation frameworks that guide research direction and capability development across MSL
  • Support the scientific vision for evaluation approaches in emerging modalities and novel model capabilities
  • Partner with cross-functional research teams across product and model training to identify and prioritize gaps in capability through rigorous evaluation
  • Work on research workstreams that shape the long-term direction of evaluation science at MSL, working independently while also contributing to team goals and organizational priorities
What we offer
What we offer
  • bonus
  • equity
  • benefits
  • Fulltime
Read More
Arrow Right

AI Research Scientist - MSL FAIR Foundations

Meta is seeking Research Scientists to join the Evaluations team within Meta Sup...
Location
Location
United States , Menlo Park
Salary
Salary:
122000.00 - 181000.00 USD / Year
meta.com Logo
Meta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 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
  • Currently has or is in the process of obtaining a Ph.D. in Computer Science, Machine Learning, or a related technical field
  • PhD research and/or industry research experience in machine learning research, with a focus on evaluation, deep learning, or related areas
  • Demonstrated ability to work on technical research projects from conception to production
  • Excellent communication skills and experience collaborating with technical leadership
Job Responsibility
Job Responsibility
  • Design novel benchmarks and evaluation methodologies for frontier AI capabilities
  • Contribute to evaluation frameworks that guide research direction and capability development across MSL
  • Support the scientific vision for evaluation approaches in emerging modalities and novel model capabilities
  • Partner with cross-functional research teams across product and model training to identify and prioritize gaps in capability through rigorous evaluation
  • Execute on research workstreams that shape the long-term direction of evaluation science at MSL, working independently while also contributing to team goals and organizational priorities
What we offer
What we offer
  • bonus
  • equity
  • benefits
Read More
Arrow Right

Ai Research Scientist, Video Generation And Post Training, Fair

Meta is seeking a Research Scientist to join the Fundamental AI Research (FAIR) ...
Location
Location
United States , Menlo Park
Salary
Salary:
154000.00 - 217000.00 USD / Year
meta.com Logo
Meta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • PhD or equivalent experience in Computer Science, Electrical Engineering, or a related field
  • Demonstrated expertise in video generation, computer vision, or multimodal AI
  • Experience with large-scale model training, post-training optimization techniques, and data curation
  • Publication record in relevant fields
Job Responsibility
Job Responsibility
  • Conduct fundamental and applied research in video generation, including generative models, video synthesis, and multimodal learning
  • Develop and optimize post-training paradigms for large-scale video and multimodal models, improving their performance, robustness, and generalization
  • Collaborate with teams across Meta to build perceptual foundations for real-time embodied agents and conversational AI
  • Contribute to the development and deployment of frontier models (e.g., Llama, LMMs) and push the boundaries of video and media generation
What we offer
What we offer
  • bonus
  • equity
  • benefits
  • Fulltime
Read More
Arrow Right