STEM OPT AI Research Engineer Jobs
AI Research Engineer roles sit squarely within STEM OPT eligibility, letting you work for up to 36 months post-graduation without H-1B visa sponsorship. Your employer must be enrolled in E-Verify, and your degree in computer science, electrical engineering, or a related STEM field must align with the role's CIP code to qualify for the 24-month extension.
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Get Access To All JobsINTRODUCTION
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.
AI Research Engineer, FAIR Chemistry 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, computational statistics, applied mathematics, AI for science, or related areas
- Experience in developing and debugging in Python or similar programming languages
- 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
Preferred Qualifications:
- Experience collaborating in a team environment on research projects
- Experience in molecular simulations for batteries, complex electrolytes, or simulation techniques like grand canonical density functional theory
- Research and engineering experience demonstrated via publications, grants, fellowships, patents, open source code
- Experience in applying AI systems to solve science and engineering problems
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies 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 assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
COMPENSATION
- $121,992/year to $181,000/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.
INTRODUCTION
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.
AI Research Engineer, FAIR Chemistry 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, computational statistics, applied mathematics, AI for science, or related areas
- Experience in developing and debugging in Python or similar programming languages
- 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
Preferred Qualifications:
- Experience collaborating in a team environment on research projects
- Experience in molecular simulations for batteries, complex electrolytes, or simulation techniques like grand canonical density functional theory
- Research and engineering experience demonstrated via publications, grants, fellowships, patents, open source code
- Experience in applying AI systems to solve science and engineering problems
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies 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 assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
COMPENSATION
- $121,992/year to $181,000/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.
See all 267+ STEM OPT AI Research Engineer Jobs
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Get Access To All JobsTips for Finding STEM OPT Authorization as an AI Research Engineer
Verify your CIP code before applying
Your STEM OPT extension depends on your degree's CIP code matching a STEM-designated field. Check your I-20 with your DSO before you start applying to confirm your program qualifies, not after you've accepted an offer.
Screen employers for E-Verify enrollment early
STEM OPT employers must be enrolled in E-Verify before your extension starts. Ask your recruiter during the first interview, not at the offer stage. A company without E-Verify enrollment cannot legally employ you on STEM OPT.
Target labs with established research training structures
The I-983 training plan requires a specific learning objective tied to your STEM degree. AI research roles at companies or universities with existing research divisions are easier to document because training plans there map directly to defined project scopes.
Use OFLC Wage Search to benchmark your offer
AI Research Engineer wages vary significantly by employer type and geography. Pull the prevailing wage for SOC code 15-2051 or 15-1299 from OFLC Wage Search before negotiating so you know whether an offer meets DOL wage standards for your location.
Find STEM OPT-ready employers on Migrate Mate
Search AI Research Engineer roles on Migrate Mate, which filters employers by E-Verify enrollment and STEM OPT compatibility. This saves you from applying to companies that can't legally support your work authorization before the conversation even starts.
File your STEM OPT extension 90 days before OPT expires
USCIS requires your extension application to be received before your initial OPT EAD expires. File at least 90 days out to stay within the 180-day filing window and avoid a gap in work authorization between initial OPT and your extension approval.
Frequently Asked Questions
Does my STEM degree qualify me for the STEM OPT extension as an AI Research Engineer?
Your degree qualifies if it's in a STEM-designated field and your program's CIP code appears on the DHS STEM Designated Degree Program List. Computer science, electrical engineering, mathematics, and statistics are common qualifying fields for AI Research Engineer roles. Your DSO can confirm your specific CIP code matches before you apply for the 24-month extension.
What does the I-983 training plan require for an AI Research Engineer role?
The I-983 requires your employer to document how the AI Research Engineer role provides practical training directly related to your STEM degree. This means listing specific learning objectives, the skills you'll develop, and how they connect to your field of study. Your employer and DSO must both sign the form, and it must be on file before your extension starts.
How do I confirm my employer is enrolled in E-Verify before accepting an offer?
Ask your recruiter or HR contact directly whether the company is currently enrolled in E-Verify as an employer, not just a participant. You can also search the E-Verify employer search tool by company name. E-Verify enrollment is a hard legal requirement for STEM OPT, and enrollment must be active at the time your extension begins, not just when you were hired.
How do I find AI Research Engineer employers that support STEM OPT?
Migrate Mate filters AI Research Engineer listings by E-Verify enrollment and STEM OPT eligibility, so you're not manually vetting each company. This matters because many job postings don't disclose E-Verify status upfront, and finding out after an offer wastes time for both you and the employer.
What happens to my STEM OPT authorization if my employer loses E-Verify enrollment?
If your employer's E-Verify enrollment terminates while you're on STEM OPT, your work authorization is no longer valid at that employer. USCIS requires you to notify your DSO within five days of losing employment. You then have a 60-day grace period to find a new qualifying employer, transfer your STEM OPT, or change status. Staying employed beyond that point without a valid authorization is a status violation.