H-1B1 Singapore Visa Principal Scientist Jobs
Principal Scientist roles qualify for H-1B1 Singapore visa sponsorship as specialty occupations requiring advanced scientific expertise. Singapore nationals avoid the H-1B lottery entirely, with the 5,400-visa annual cap rarely filling. Applications go directly to a U.S. consulate, so your timeline depends on employer readiness, not a random draw.
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Get Access To All JobsAt Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.
Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors - Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together - help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.
Introduction to the Team:
Our Technology Team partners with teams across Expedia Group to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction.
The Traveler Discovery & Planning team at Expedia is at the forefront of innovation in AI-driven agentic systems. We're dedicated to enhancing customer experiences, increasing engagement, and strengthening traveler relationships through cutting-edge machine learning solutions. Our work directly impacts millions of travelers worldwide, shaping their journey from dreaming to booking and beyond.
Join a team that’s focused on Agentic Experiences revolutionizing traveler experiences through autonomous, intelligent agent systems. From building cutting-edge conversational AI that anticipates traveler needs to developing proactive solutions for personalized trip planning, your work will shape the future of travel assistance and directly impact millions of users worldwide. This is a rare opportunity to build foundational systems in a high-impact domain, backed by Expedia’s AI-first vision.
In this role, you will:
- Design, build, and evaluate multi-step agentic AI systems, including autonomous agents capable of planning, tool use, memory management, and multi-agent collaboration
- Research and implement state-of-the-art techniques in agentic architectures, such as ReAct, reflection loops, chain-of-thought prompting, and tool-augmented reasoning
- Develop and maintain agent orchestration frameworks, defining how agents decompose tasks, delegate to sub-agents, and handle failure and recovery
- Integrate large language models (LLMs) with external tools, APIs, databases, and code execution environments to enable real-world task completion
- Define and own evaluation frameworks for agentic systems, measuring task success, reliability, latency, cost, and safety across diverse benchmarks and production scenarios
- Lead collaboration with product, engineering, and research teams to translate business requirements into agentic system designs and deliver production-grade solutions
- Identify and mitigate risks specific to agentic systems, including prompt injection, unintended actions, hallucination in long-horizon tasks, and unsafe tool use
- Stay current with the rapidly evolving agentic AI landscape, synthesizing academic research and industry developments to inform the team's technical direction
- Mentor senior ML engineers and scientists, providing technical guidance on agentic design patterns, LLM best practices, and experimentation methodology
Minimum Qualifications:
- BS in Computer Science, Machine Learning, Statistics, Engineering, or a related field; or equivalent professional experience
- 10+ years of related industry experience
- Demonstrated experience designing and deploying agentic or multi-step AI systems (e.g., ReAct, tool-calling agents, multi-agent pipelines) in production or research settings
- Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX); experience with LLM APIs and orchestration libraries (e.g., LangChain, LlamaIndex, or similar)
- Experience integrating LLMs with external tools, APIs, and structured data sources for real-world task completion
- Solid understanding of prompt engineering techniques including chain-of-thought, few-shot prompting, and structured output generation
- Experience defining and running evaluation frameworks for ML systems, including offline benchmarking and production monitoring
- Experience taking models from prototype to production in collaboration with Machine Learning Engineering teams
Preferred Qualifications:
- Advanced degree (PhD or MS) in Computer Science, Machine Learning, Statistics, Engineering
- Experience in the travel or e-commerce industry
- Publications in top-tier ML conferences or journals
- Patented Inventions, pending and issued
- Contributions to open-source ML projects
The total cash range for this position in Seattle is $224,000.00 to $313,500.00. Employees in this role have the potential to increase their pay up to $358,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role. The total cash range for this position in San Jose is $242,000.00 to $338,500.00. Employees in this role have the potential to increase their pay up to $387,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.
Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual’s knowledge, skills, and experience. Pay ranges may be modified in the future.
Benefits and perks
Expedia Group offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership. Learn more about life at Expedia Group at https://careers.expediagroup.com/life.
Accommodation requests
Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at https://expedia.service-now.com/askeg?id=job_accommodation.
About Expedia Group
Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease.
Important notice
Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is https://careers.expediagroup.com/jobs/.
Equal Opportunity
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.
At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.
Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors - Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together - help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.
Introduction to the Team:
Our Technology Team partners with teams across Expedia Group to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction.
The Traveler Discovery & Planning team at Expedia is at the forefront of innovation in AI-driven agentic systems. We're dedicated to enhancing customer experiences, increasing engagement, and strengthening traveler relationships through cutting-edge machine learning solutions. Our work directly impacts millions of travelers worldwide, shaping their journey from dreaming to booking and beyond.
Join a team that’s focused on Agentic Experiences revolutionizing traveler experiences through autonomous, intelligent agent systems. From building cutting-edge conversational AI that anticipates traveler needs to developing proactive solutions for personalized trip planning, your work will shape the future of travel assistance and directly impact millions of users worldwide. This is a rare opportunity to build foundational systems in a high-impact domain, backed by Expedia’s AI-first vision.
In this role, you will:
- Design, build, and evaluate multi-step agentic AI systems, including autonomous agents capable of planning, tool use, memory management, and multi-agent collaboration
- Research and implement state-of-the-art techniques in agentic architectures, such as ReAct, reflection loops, chain-of-thought prompting, and tool-augmented reasoning
- Develop and maintain agent orchestration frameworks, defining how agents decompose tasks, delegate to sub-agents, and handle failure and recovery
- Integrate large language models (LLMs) with external tools, APIs, databases, and code execution environments to enable real-world task completion
- Define and own evaluation frameworks for agentic systems, measuring task success, reliability, latency, cost, and safety across diverse benchmarks and production scenarios
- Lead collaboration with product, engineering, and research teams to translate business requirements into agentic system designs and deliver production-grade solutions
- Identify and mitigate risks specific to agentic systems, including prompt injection, unintended actions, hallucination in long-horizon tasks, and unsafe tool use
- Stay current with the rapidly evolving agentic AI landscape, synthesizing academic research and industry developments to inform the team's technical direction
- Mentor senior ML engineers and scientists, providing technical guidance on agentic design patterns, LLM best practices, and experimentation methodology
Minimum Qualifications:
- BS in Computer Science, Machine Learning, Statistics, Engineering, or a related field; or equivalent professional experience
- 10+ years of related industry experience
- Demonstrated experience designing and deploying agentic or multi-step AI systems (e.g., ReAct, tool-calling agents, multi-agent pipelines) in production or research settings
- Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX); experience with LLM APIs and orchestration libraries (e.g., LangChain, LlamaIndex, or similar)
- Experience integrating LLMs with external tools, APIs, and structured data sources for real-world task completion
- Solid understanding of prompt engineering techniques including chain-of-thought, few-shot prompting, and structured output generation
- Experience defining and running evaluation frameworks for ML systems, including offline benchmarking and production monitoring
- Experience taking models from prototype to production in collaboration with Machine Learning Engineering teams
Preferred Qualifications:
- Advanced degree (PhD or MS) in Computer Science, Machine Learning, Statistics, Engineering
- Experience in the travel or e-commerce industry
- Publications in top-tier ML conferences or journals
- Patented Inventions, pending and issued
- Contributions to open-source ML projects
The total cash range for this position in Seattle is $224,000.00 to $313,500.00. Employees in this role have the potential to increase their pay up to $358,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role. The total cash range for this position in San Jose is $242,000.00 to $338,500.00. Employees in this role have the potential to increase their pay up to $387,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.
Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual’s knowledge, skills, and experience. Pay ranges may be modified in the future.
Benefits and perks
Expedia Group offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership. Learn more about life at Expedia Group at https://careers.expediagroup.com/life.
Accommodation requests
Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at https://expedia.service-now.com/askeg?id=job_accommodation.
About Expedia Group
Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease.
Important notice
Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is https://careers.expediagroup.com/jobs/.
Equal Opportunity
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.
See all 203+ H-1B1 Singapore Visa Principal Scientist Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B1 Singapore Visa Principal Scientist Jobs.
Get Access To All JobsTips for Finding Visa Sponsorship as a Principal Scientist
Align your credentials to U.S. specialty occupation standards
Pull your O*NET profile for Principal Scientist and confirm your Singapore degree maps directly to the role's required field. USCIS adjudicators reject petitions where the degree-to-job connection isn't explicit, so document the disciplinary match before you apply.
Target employers with active R&D visa filing patterns
Pharma, biotech, and semiconductor firms that run large internal research divisions file H-1B1 visa petitions regularly. Search DOL's LCA disclosure data by occupation code to identify which employers have certified positions matching Principal Scientist roles in recent fiscal years.
Search for H-1B1 Singapore jobs on Migrate Mate
Migrate Mate filters job listings by H-1B1 Singapore sponsorship history, so you're not cold-applying to employers who've never filed for Singapore nationals. Use it to identify research employers whose LCA filings match Principal Scientist occupation codes.
Confirm your employer understands the LCA filing timeline
Your employer must file a certified Labor Condition Application with DOL before submitting your consular application. LCA certification typically takes seven business days, but errors or wage-level disputes can delay it. Verify your employer's HR team has done this before.
Negotiate for employer-paid prevailing wage compliance upfront
The LCA locks in your wage at or above the DOL prevailing wage for your occupation and work location. Use the OFLC Wage Search to look up the Level III or IV rate for Principal Scientist in your target metro before salary discussions begin.
Prepare a nonimmigrant intent response for your consular interview
The H-1B1 Singapore visa is a nonimmigrant visa without dual intent protection. Consular officers can question your ties to Singapore. Prepare clear documentation of your intent to return, such as property ownership, family ties, or professional memberships, before your interview.
Frequently Asked Questions
Does a Principal Scientist role qualify as a specialty occupation for H-1B1 Singapore?
Yes. Principal Scientist positions require at least a bachelor's degree in a directly related scientific field such as chemistry, biology, or materials science, which satisfies the specialty occupation definition USCIS applies to H-1B1 visa petitions. Roles that require only a general science background without field specificity can face challenges, so your employer's job description should explicitly state the degree requirement.
How does H-1B1 Singapore differ from H-1B for a Principal Scientist?
The H-1B1 Singapore visa has no lottery and no USCIS petition filing for consular applicants, which means your timeline depends on employer and consulate readiness rather than an annual random selection. The trade-off is that H-1B1 has no dual intent protection, so you can't simultaneously pursue a green card without risking visa denial. H-1B holders can file for permanent residence while maintaining status; H-1B1 holders generally cannot.
Where can I find Principal Scientist jobs that offer H-1B1 Singapore visa sponsorship?
Migrate Mate lists jobs filtered by H-1B1 Singapore sponsorship history, so you can identify employers who have actually filed for Singapore nationals in Principal Scientist or equivalent research roles. Most general job boards don't filter by visa type or nationality-specific sponsorship, which means you'll spend significant time approaching employers who aren't set up to sponsor H-1B1 petitions.
Can my employer file my H-1B1 Singapore petition while I'm already in the U.S. on another visa status?
Yes, a change of status filing with USCIS is possible if you're already in valid nonimmigrant status in the U.S. If you're outside the U.S., your employer files the LCA with DOL and you apply directly at a Singapore consulate. The consular route is more common for H-1B1 Singapore because the visa was designed under the free trade agreement framework for Singapore-based applicants.
What happens to my H-1B1 Singapore status if my Principal Scientist role is restructured or eliminated?
Your H-1B1 visa status is tied to the specific employer and position approved in the LCA and consular application. If your role is eliminated, you have a short grace period, typically up to 60 days, to find a new sponsoring employer and file a new LCA. Unlike H-1B, H-1B1 doesn't allow portability under AC21, so a new employer must restart the full filing process.