Job description
Meta is seeking Research Scientists to join the Fundamental AI Research (FAIR) Chemistry team, which focuses on developing AI-based methods for modeling atomic-level phenomena. The team works on applications in energy sustainability, drug discovery, and new materials for display technologies. Researchers will collaborate with an interdisciplinary team of domain scientists, AI experts, and software engineers to drive fundamental methods development. The role emphasizes the importance of producing high-quality research and open-source code.
Requirements
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- A PhD in AI, computer science, data science, science/engineering, or related technical fields
- First-authored or last-authored publications at peer-reviewed conferences, such as ICML, NeurIPS, ICLR, and other similar venues
- 4+ years experience holding an industry, postdoctoral, faculty, or government researcher position
- Research background in machine learning, artificial intelligence, computational statistics, applied mathematics, AI for science, or related areas
- Experience in developing and debugging in Python or similar programming languages
Responsibilities
- Provide technical leadership for a scientific direction in AI for science
- Perform research that advances the state-of-the-art in AI for chemistry and materials science
- Work closely with internal and external partners to realize impact of methods advances
- Work towards long-term goals, while identifying intermediate milestones
- Influence progress of relevant research communities by producing publications
- Open source high quality code and produce reproducible research
Benefits
- Employees at Meta are often offered comprehensive benefits, including medical/dental/vision coverage, mental-health resources, family planning support (fertility, adoption, surrogacy), and caregiving programs. Financial benefits typically include a competitive retirement plan, equity awards, life insurance, and access to financial coaching and legal support. Time-off benefits commonly feature generous PTO and holidays, unlimited sick time, various paid leaves, flexible “Global Travel Days,” and a 30-day paid break every five years.
H-1B filing history
Public USCIS petition and DOL LCA counts · latest USCIS FY2026, LCA FY2026
Filing entity: Meta Platforms Inc
As of Aug 23, 2026
Initial approvals
219
FY2026
Approval rate
98.3%
FY2026
LCA certified
6,606
FY2026
Entry-level share
1.9%
FY2026
Initial approvals YoY
-86%
Trend
LCA certified YoY
-27%
Trend
Initial approvals by fiscal year
Approval rate by fiscal year
Continuing vs initial approvals
LCA certified positions by quarter
LCA certified positions by fiscal year
Based on public USCIS and DOL filings; not a sponsorship guarantee.
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