H-1B1 Singapore Visa Applied Scientist Jobs
Applied Scientist jobs with H-1B1 Singapore visa sponsorship give Singaporean nationals a direct path to U.S. research and machine learning roles without lottery risk. The H-1B1 cap of 5,400 visas rarely fills, and consulate processing in Singapore means no USCIS petition wait before you start.
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Applied Scientists in AWS Automated Reasoning are dedicated to making AWS the best computing service in the world for customers who require advanced and rigorous solutions for automated reasoning, privacy, and sovereignty.
Key job responsibilities
The successful candidate will:
- Solve large or significantly complex problems that require deep knowledge and understanding of your domain and scientific innovation.
- Own strategic problem solving, and take the lead on the design, implementation, and delivery for solutions that have a long-term quantifiable impact.
- Provide cross-organizational technical influence, increasing productivity and effectiveness by sharing your deep knowledge and experience.
- Develop strategic plans to identify fundamentally new solutions for business problems.
- Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues.
A day in the life
This is a unique and rare opportunity to get in early on a fast-growing segment of AWS and help shape the technology, product and the business. You will have a chance to utilize your deep technical experience within a fast moving, start-up environment and make a large business and customer impact.
About the team
Diverse Experiences Amazon Automated Reasoning values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why Amazon Automated Reasoning?
At Amazon, automated reasoning is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for automated reasoning across all of Amazon's products and services. We offer talented automated reasoning professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.
Inclusive Team Culture
In Amazon Automated Reasoning, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest automated reasoning challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.
Training & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.
BASIC QUALIFICATIONS
- PhD in computer science, computer engineering, or related field
- 4+ years of applied research experience
- Experience in any of the following areas: SAT, SMT, mechanical theorem proving, symbolic simulation, programming language type systems, program analysis.
PREFERRED QUALIFICATIONS
- Experience programming in O'Caml, Dafny, Haskell, Kotlin, Lean, Rust, Scala or related language
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, WA, Seattle
COMPENSATION
- Salary Range: $142,800.00 - $193,200.00 USD annually
DESCRIPTION
Applied Scientists in AWS Automated Reasoning are dedicated to making AWS the best computing service in the world for customers who require advanced and rigorous solutions for automated reasoning, privacy, and sovereignty.
Key job responsibilities
The successful candidate will:
- Solve large or significantly complex problems that require deep knowledge and understanding of your domain and scientific innovation.
- Own strategic problem solving, and take the lead on the design, implementation, and delivery for solutions that have a long-term quantifiable impact.
- Provide cross-organizational technical influence, increasing productivity and effectiveness by sharing your deep knowledge and experience.
- Develop strategic plans to identify fundamentally new solutions for business problems.
- Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues.
A day in the life
This is a unique and rare opportunity to get in early on a fast-growing segment of AWS and help shape the technology, product and the business. You will have a chance to utilize your deep technical experience within a fast moving, start-up environment and make a large business and customer impact.
About the team
Diverse Experiences Amazon Automated Reasoning values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why Amazon Automated Reasoning?
At Amazon, automated reasoning is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for automated reasoning across all of Amazon's products and services. We offer talented automated reasoning professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.
Inclusive Team Culture
In Amazon Automated Reasoning, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest automated reasoning challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.
Training & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.
BASIC QUALIFICATIONS
- PhD in computer science, computer engineering, or related field
- 4+ years of applied research experience
- Experience in any of the following areas: SAT, SMT, mechanical theorem proving, symbolic simulation, programming language type systems, program analysis.
PREFERRED QUALIFICATIONS
- Experience programming in O'Caml, Dafny, Haskell, Kotlin, Lean, Rust, Scala or related language
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, WA, Seattle
COMPENSATION
- Salary Range: $142,800.00 - $193,200.00 USD annually
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Get Access To All JobsTips for Finding Visa Sponsorship as an Applied Scientist
Verify your degree field matches the role
H-1B1 visa requires a specialty occupation with a direct degree-to-job connection. For Applied Scientist roles, a degree in computer science, statistics, or a closely related quantitative field is expected. A general business or unrelated STEM degree can draw scrutiny at the consulate.
Check the prevailing wage before negotiating
Your employer must file an LCA certifying your offered wage meets the DOL prevailing wage for Applied Scientist in your work location. Run the OFLC Wage Search before your offer stage so you know the floor and can negotiate above it.
Target employers with active LCA filing history
Not every tech or research employer understands the H-1B visa1 process. Use Migrate Mate to filter Applied Scientist roles by employers who have filed H-1B visa1 or H-1B LCAs, so you're pursuing companies already set up to sponsor rather than educating HR from scratch.
Confirm your employer enrolls in E-Verify
E-Verify enrollment isn't required for all H-1B1 employers, but many large tech and federal contractor employers use it. Ask during the offer stage, since E-Verify status affects onboarding timelines and whether you'll face additional I-9 verification steps on day one.
Prepare your O*NET occupation classification early
Consular officers and employers reference the O*NET profile for Applied Scientist to confirm specialty occupation status. Pull the O*NET entry before your interview and reconcile your actual job duties against the listed tasks, since a poor match between your offer letter and the profile is a common source of additional documentation requests.
Request a short start-date window in your offer letter
H-1B1 consulate appointments in Singapore move faster than USCIS processing, but your visa is tied to the LCA start date. Negotiate a start date at least four to six weeks out to give your employer time to get LCA certification from DOL before your interview.
Frequently Asked Questions
Does an Applied Scientist role qualify as a specialty occupation for the H-1B1 Singapore visa?
Yes. Applied Scientist roles typically require at least a bachelor's degree in computer science, machine learning, statistics, or a directly related quantitative field, which meets the specialty occupation standard. Your employer confirms this in the Labor Condition Application filed with DOL before your consulate appointment. If your job duties include significant research, modeling, or algorithm development, the classification is straightforward.
How does the H-1B1 Singapore visa compare to H-1B for Applied Scientist positions?
The H-1B1 skips the annual lottery entirely, which is the single biggest practical difference for Singaporean nationals. H-1B has an 85,000-slot cap with a registration lottery that leaves many qualified candidates unselected. The H-1B1 has a separate 5,400-slot annual cap that historically goes unused, and your application is adjudicated at the U.S. Embassy in Singapore rather than through a months-long USCIS review. The tradeoff is that H-1B1 doesn't allow dual intent, so demonstrating nonimmigrant intent at the consulate matters.
How do I find Applied Scientist employers who will sponsor the H-1B1 Singapore visa?
Migrate Mate is built for this search. It filters Applied Scientist roles by employers with documented H-1B1 and H-1B LCA filing history, so you can identify companies that have already navigated visa sponsorship rather than approaching employers who have never done it. This saves significant time during a job search where the employer's willingness to file is as important as the role itself.
Can I switch Applied Scientist employers while on H-1B1 status in the United States?
Yes, but the H-1B1 is employer-specific, so your new employer must file a fresh LCA and you'll need a new visa stamp at the consulate before or shortly after switching. There's no portability provision like H-1B's AC21 rule, so plan the timing carefully. A gap between your old employer's end date and the new LCA certification can create a status issue if not managed closely.
What happens if the DOL prevailing wage for Applied Scientist is higher than my offer?
Your employer cannot file a compliant LCA unless the offered wage meets or exceeds the DOL prevailing wage for the Applied Scientist occupation in your specific work location. If the offer is below that threshold, the employer must either raise the salary or the sponsorship can't proceed. Run the OFLC Wage Search before finalizing your offer so both you and your employer know the wage floor in advance.
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