H-1B Visa AI Research Scientist Jobs
AI Research Scientist roles qualify as H-1B specialty occupations under the computer and mathematical sciences category, requiring at least a bachelor's degree in a directly related field. Most positions at research labs, tech companies, and universities fall under SOC code 15-2051, and many employers file premium processing to meet competitive hiring timelines.
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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 H-1B Visa Sponsorship as an AI Research Scientist
Verify your degree meets specialty occupation
Your degree field must directly relate to AI research, not just computer science broadly. A PhD in statistics or cognitive science can qualify, but you'll need to document the connection to your specific role in the H-1B petition.
Search LCA filings by occupation code
Use Migrate Mate to filter employers by H-1B Labor Condition Application filings under SOC code 15-2051. This shows you which companies have actively sponsored AI Research Scientist roles, not just tech companies that sponsor H-1Bs generally.
Target cap-exempt employers for faster timelines
Universities, nonprofit research institutions, and government research organizations are cap-exempt, meaning they can file your H-1B petition any time of year without waiting for the April lottery. This matters if your OPT or other status expires soon.
Confirm prevailing wage level before negotiating
Look up your offered role's wage level using the OFLC Wage Search before finalizing your offer. Employers must certify your salary meets the DOL prevailing wage for your location and job duties, and Level I wages are frequently challenged for research positions.
Prepare publications and project documentation early
USCIS scrutinizes AI Research Scientist petitions for specialty occupation eligibility. Gather published papers, conference presentations, patent filings, and technical reports before your employer files. Strong evidence of specialized research output reduces RFE risk significantly.
Ask about premium processing at the offer stage
Many AI Research Scientist offers are time-sensitive because employers are competing for the same candidates. USCIS premium processing upgrades standard adjudication to 15 business days. Clarify whether your employer includes this in the sponsorship package before you sign.
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Find AI Research Scientist JobsAI Research Scientist H-1B Visa: Frequently Asked Questions
Does an AI Research Scientist role qualify as an H-1B specialty occupation?
Yes. AI Research Scientist positions fall under the computer and mathematical occupations category and require at least a bachelor's degree in a directly related field such as computer science, mathematics, or statistics. USCIS evaluates whether the specific job duties require theoretical and practical application of highly specialized knowledge, which most research-focused AI roles satisfy.
Which types of employers sponsor H-1B visas for AI Research Scientists?
Technology companies, national laboratories, university research departments, and AI-focused startups are the most active sponsors. Cap-exempt employers like universities and nonprofit research institutions can file outside the annual lottery window, which is a meaningful advantage. You can browse verified sponsoring employers on Migrate Mate, filtered by occupation code and filing history.
How does the H-1B lottery affect AI Research Scientist candidates at for-profit companies?
For-profit employers must enter the annual H-1B lottery, with registrations typically opening in March for an October 1 start date. Selection is not guaranteed. Candidates with a U.S. master's degree or higher get a second chance in the advanced-degree pool, which modestly improves selection odds. If not selected, some candidates pivot to cap-exempt roles to bridge the gap.
What documentation strengthens an H-1B petition for an AI Research Scientist?
Published research papers, conference proceedings, patents, technical reports, and letters from collaborators all support the specialty occupation argument. USCIS looks for evidence that the role requires a specific body of highly specialized knowledge. A strong job description that ties research duties to degree requirements is as important as your personal credentials.
Can I switch employers during H-1B status as an AI Research Scientist?
Yes. Under H-1B portability rules, you can start working for a new employer once they file a non-frivolous H-1B transfer petition, without waiting for approval. The new employer must file a fresh LCA with DOL and submit a new I-129 petition to USCIS. Your job duties and salary at the new employer must still meet specialty occupation and prevailing wage requirements.
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