H-1B1 Singapore Visa AI Research Scientist Jobs
AI Research Scientist roles qualify for H-1B1 Singapore visa sponsorship because they require at least a bachelor's degree in a directly related field, machine learning, computer science, or statistics. The H-1B1 has no lottery, a 5,400-visa annual cap that rarely fills, and processes at the U.S. consulate in Singapore rather than through USCIS.
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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 Visa Sponsorship as an AI Research Scientist
Align your credentials to specialty occupation standards
Your degree must directly relate to AI research, not just technology broadly. A master's or PhD in machine learning, statistics, or computer science strengthens the specialty occupation argument. Check your role's O*NET profile to confirm the degree requirement language your employer will use in the LCA.
Target employers with active LCA filing histories
Employers must file a certified LCA with DOL before sponsoring your H-1B1 visa. Use Migrate Mate to filter for companies that have filed LCAs for AI Research Scientist roles specifically, not just general software or engineering positions.
Distinguish your research scope from engineering roles
Employers sometimes conflate AI Research Scientist with software engineer or ML engineer when drafting the LCA job description. Push for precise language covering model architecture design, novel algorithm development, or published research output so the specialty occupation case holds up at the consulate.
Verify prevailing wage before accepting an offer
The LCA locks in the wage your employer must pay under DOL rules. Run your offer title and work location through the OFLC Wage Search before signing to confirm the offered salary meets at least the Level II prevailing wage for AI Research Scientist in that metro area.
Secure a certified LCA before your consulate appointment
DOL certifies LCAs within seven business days under standard processing. Your employer can't submit the consular packet or schedule your appointment until certification is in hand, so confirm the LCA is filed and approved at least three weeks before your target interview date.
Prepare for nonimmigrant intent questions at the consulate
Unlike H-1B visa, the H-1B1 doesn't allow dual intent, so consular officers will assess your ties to Singapore. Bring documentation of family, property, or financial ties and be ready to articulate a concrete plan for returning after your authorized stay.
Frequently Asked Questions
Does an AI Research Scientist role qualify as a specialty occupation for the H-1B1 Singapore visa?
Yes. AI Research Scientist positions typically require at least a bachelor's degree in computer science, machine learning, or statistics, which meets the specialty occupation definition under the H-1B1 rules. The employer confirms this in the LCA job description filed with DOL. Roles that list a degree as preferred rather than required can create problems, so make sure the job posting and LCA both state the degree requirement clearly.
How does the H-1B1 Singapore visa compare to the H-1B for AI Research Scientist jobs?
The H-1B1 skips the lottery entirely, which means Singaporean nationals can pursue U.S. AI Research Scientist roles without waiting for a random selection outcome. The annual cap of 5,400 visas has historically gone unfilled, so availability is rarely the constraint. The trade-off is that H-1B1 doesn't allow dual intent, requiring you to maintain demonstrable ties to Singapore throughout your stay.
How do I find employers who sponsor H-1B1 Singapore visas for AI Research Scientist roles?
Use Migrate Mate to search for companies with verified LCA filing histories for AI Research Scientist positions. Because H-1B1 requires the same LCA process as H-1B, DOL disclosure data shows which employers have actually sponsored these roles before, not just which ones list sponsorship as a possibility in job postings.
What happens if my AI Research Scientist role overlaps with a software engineering job title?
Title overlap is one of the most common LCA complications for this role. If the job description bundles AI research with general engineering tasks, USCIS or the consular officer may question whether the position genuinely requires a research-specific degree. Work with your employer to ensure the LCA job duties focus on model development, algorithmic research, or experimental design rather than routine software implementation.
Can I renew my H-1B1 Singapore visa while staying in the United States?
H-1B1 visas are issued in one-year increments and must be renewed at a U.S. consulate abroad, meaning you'll need to return to Singapore for each renewal interview. Unlike H-1B holders, H-1B1 workers cannot extend status through USCIS while remaining in the country. Plan your research project timelines and employment contract terms around that annual consulate requirement.
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