STEM OPT AI Researcher Jobs
AI Researcher roles fall under STEM-designated CIP codes, making them eligible for the 24-month STEM OPT extension on top of your initial 12-month OPT period. Your employer must be enrolled in E-Verify and sign a formal I-983 training plan. A STEM degree in computer science, electrical engineering, statistics, or a related field is required to qualify.
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Get Access To All JobsINTRODUCTION
This role sits within Meta's Reality Labs Research, in the Material and Systems Innovation team, which develops advanced materials for two of Meta's most ambitious hardware frontiers: lightweight, all-day wearable AR glasses and next-generation sensing and actuating materials for robotics. The AI Specialist will design and build LLM-orchestrated multi-agent systems that autonomously drive materials discovery pipelines — from computational screening and simulation through synthesis and characterization — across both domains. By closing this loop with agentic AI, we aim to compress discovery timelines from years to weeks, directly accelerating Meta's ability to ship breakthrough AR/VR and robotics hardware. This position bridges two of Meta's highest-priority investment areas — frontier AI and the physical systems underpinning the metaverse and embodied intelligence — and will contribute both production systems and published research at top-tier venues.
AI Research Scientist — Agentic AI for Materials Discovery Responsibilities:
- Design, implement, and optimize LLM-orchestrated multi-agent systems for autonomous materials discovery pipelines
- Build specialized AI sub-agents that operate within a closed-loop discovery framework
- Integrate agentic AI workflows with computational chemistry tools (DFT, MD, Monte Carlo) and HPC infrastructure
- Develop and fine-tune retrieval-augmented generation (RAG) systems over scientific literature corpora for real-time knowledge synthesis
- Collaborate with materials scientists, computational chemists, and ML researchers to translate domain workflows into autonomous agent architectures
- Evaluate and benchmark agent performance on materials discovery tasks — measuring accuracy, throughput, and synthetic viability of generated candidates
- Contribute to open-source tooling and publish research at top-tier venues (NeurIPS, ICML, ICLR, or domain journals)
Minimum Qualifications:
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- PhD in AI, Computer Science, Computational Chemistry, Materials Science, or related field
- 2+ years of experience with large language models, prompt engineering, or agentic AI frameworks (e.g., React, tool-use agents, multi-agent orchestration)
- Demonstrated programming skills in Python and experience with ML frameworks (PyTorch, JAX, or similar)
- Demonstrated experience in building end-to-end AI systems that integrate external tools and APIs
- Familiarity with at least one domain: computational chemistry, molecular simulation, or materials informatics
Preferred Qualifications:
- Experience building multi-agent or LLM-orchestrated systems for scientific applications
- Familiarity with atomistic simulation tools (VASP, Gaussian, LAMMPS, ASE) or cheminformatics libraries
- Publications at peer-reviewed ML or domain conferences
- Experience with retrieval-augmented generation, knowledge graphs, or scientific literature mining
- Understanding of crystal structure prediction, molecular dynamics, or quantum chemistry workflows
- Experience with HPC job orchestration
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
- $184,000/year to $257,000/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
This role sits within Meta's Reality Labs Research, in the Material and Systems Innovation team, which develops advanced materials for two of Meta's most ambitious hardware frontiers: lightweight, all-day wearable AR glasses and next-generation sensing and actuating materials for robotics. The AI Specialist will design and build LLM-orchestrated multi-agent systems that autonomously drive materials discovery pipelines — from computational screening and simulation through synthesis and characterization — across both domains. By closing this loop with agentic AI, we aim to compress discovery timelines from years to weeks, directly accelerating Meta's ability to ship breakthrough AR/VR and robotics hardware. This position bridges two of Meta's highest-priority investment areas — frontier AI and the physical systems underpinning the metaverse and embodied intelligence — and will contribute both production systems and published research at top-tier venues.
AI Research Scientist — Agentic AI for Materials Discovery Responsibilities:
- Design, implement, and optimize LLM-orchestrated multi-agent systems for autonomous materials discovery pipelines
- Build specialized AI sub-agents that operate within a closed-loop discovery framework
- Integrate agentic AI workflows with computational chemistry tools (DFT, MD, Monte Carlo) and HPC infrastructure
- Develop and fine-tune retrieval-augmented generation (RAG) systems over scientific literature corpora for real-time knowledge synthesis
- Collaborate with materials scientists, computational chemists, and ML researchers to translate domain workflows into autonomous agent architectures
- Evaluate and benchmark agent performance on materials discovery tasks — measuring accuracy, throughput, and synthetic viability of generated candidates
- Contribute to open-source tooling and publish research at top-tier venues (NeurIPS, ICML, ICLR, or domain journals)
Minimum Qualifications:
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- PhD in AI, Computer Science, Computational Chemistry, Materials Science, or related field
- 2+ years of experience with large language models, prompt engineering, or agentic AI frameworks (e.g., React, tool-use agents, multi-agent orchestration)
- Demonstrated programming skills in Python and experience with ML frameworks (PyTorch, JAX, or similar)
- Demonstrated experience in building end-to-end AI systems that integrate external tools and APIs
- Familiarity with at least one domain: computational chemistry, molecular simulation, or materials informatics
Preferred Qualifications:
- Experience building multi-agent or LLM-orchestrated systems for scientific applications
- Familiarity with atomistic simulation tools (VASP, Gaussian, LAMMPS, ASE) or cheminformatics libraries
- Publications at peer-reviewed ML or domain conferences
- Experience with retrieval-augmented generation, knowledge graphs, or scientific literature mining
- Understanding of crystal structure prediction, molecular dynamics, or quantum chemistry workflows
- Experience with HPC job orchestration
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
- $184,000/year to $257,000/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.
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Get Access To All JobsTips for Finding STEM OPT Authorization in AI Researcher
Verify your CIP code before applying
Cross-check your degree's CIP code against the DHS STEM OPT designated degree list before targeting roles. A degree in data science or applied mathematics qualifies; a general information systems degree may not. Confirm with your DSO before your OPT end date.
Filter employers by E-Verify enrollment status
STEM OPT requires your employer to be actively enrolled in E-Verify, not just registered. Ask the recruiter to confirm current enrollment before your first interview. An employer that lets enrollment lapse after your start date puts your authorization at risk.
Align your I-983 training plan with research deliverables
AI Researcher roles require a signed I-983 training plan with specific learning objectives and performance benchmarks. Frame your objectives around measurable research outputs, such as model accuracy improvements or published findings, so the plan satisfies USCIS requirements on its face.
Use Migrate Mate to target verified STEM OPT employers
Search for AI Researcher openings on Migrate Mate, which surfaces employers with confirmed E-Verify enrollment and STEM OPT hiring history. This cuts the time you'd otherwise spend manually vetting employers through the E-Verify employer search tool.
Check prevailing wage before negotiating your offer
Look up the SOC code 15-2051 or 15-1221 wage level for your metro area using the OFLC Wage Search before you negotiate. Your offer must meet the DOL prevailing wage for your role and location, so knowing the floor prevents a mismatch that could delay your I-983 approval.
File your STEM OPT extension 90 days before OPT expires
USCIS requires your STEM OPT extension application to be filed before your initial OPT EAD expires. Submit at least 90 days early to stay inside the automatic 180-day cap-gap protection window and avoid a gap in your work authorization between approval cycles.
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Find AI Researcher JobsFrequently Asked Questions
Does my degree qualify me for the STEM OPT extension as an AI Researcher?
Your degree qualifies if it appears on the DHS STEM OPT designated degree list with a matching CIP code. Degrees in computer science, statistics, mathematics, electrical engineering, and applied data science typically qualify. Degrees in general business or information management often do not, even if your coursework was technical. Confirm your specific CIP code with your DSO before applying.
What does an AI Researcher I-983 training plan need to include?
The I-983 must name your employer, describe how the AI Researcher role relates to your STEM degree, and list measurable learning objectives and performance benchmarks. USCIS expects concrete deliverables tied to your research work, such as model development milestones or publication targets. Both you and your employer supervisor must sign it, and your DSO must update your SEVIS record before you can file the extension.
How do I confirm my employer is enrolled in E-Verify?
Ask your recruiter or HR contact to confirm active E-Verify enrollment before you accept an offer. You can also search the public E-Verify employer search tool by company name or EIN to check enrollment status. Enrollment must remain active throughout your STEM OPT period, not just at the time of hiring. A lapsed enrollment requires your employer to re-enroll before you can legally continue working.
What happens to my STEM OPT authorization if my AI Researcher role changes within the same company?
A material change in job duties, location, or compensation requires an updated I-983 training plan submitted to your DSO within 10 days. If your role shifts from AI research to a non-STEM function, your STEM OPT authorization may no longer apply to that position. Minor project changes within the same research track generally do not require a new plan, but document the continuity in writing with your employer.
Where can I find AI Researcher jobs that already accept STEM OPT candidates?
Migrate Mate lists AI Researcher openings from employers with confirmed E-Verify enrollment and a track record of hiring STEM OPT students. Searching there filters out employers who either aren't E-Verify enrolled or have no history of supporting OPT extensions, which saves you the back-and-forth of vetting eligibility after you've already applied.
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