AI Research Engineer, FAIR Chemistry

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

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Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified checked Jun 7, 2026

Salary

$122K-$181K From the posting source checked Jun 20, 2026

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

30% above the BLS role benchmark for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Company stage

Public-company From the posting source checked Jun 20, 2026

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

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Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

AI Research Engineer, FAIR Chemistry Menlo Park, CA; San Francisco, CA Meta is seeking a researcher to join the Fundamental AI Research (FAIR) Chemistry team, a research organization focused on advancing the state-of-the-art in AI. In this role, you'll work with world-class researchers at FAIR on fundamental and exploratory research. Our current projects include new datasets, models, and capabilities to accelerate chemistry and materials science. Our organization is motivated by producing new science to understand intelligence and technology towards achieving advanced machine intelligence. In this specific role, you will develop and enhance capabilities for modeling complex battery and electrolyte chemistries. 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. - Enhance the capabilities of FAIR chemistry models in complex chemical environments like electrolytes or strong applied fields. Minimum qualifications: - First-authored or last-authored publications at peer-reviewed conferences, such as ICML, NeurIPS, ICLR, and other similar venues, or domain scientific journals - Master's Degree or PhD in AI, computer science, data science, science/engineering, or related technical fields - Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience - Research background in machine learning, artificial intelligence,

Read the full description at www.metacareers.com. FewerJobs shows a preview and links to the original posting.