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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About Sponsored Products and Brands
The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.
About our team
SPB Ad Response Prediction team is your choice, if you want to join a highly motivated, collaborative, and fun-loving team with a strong entrepreneurial spirit and bias for action. We are seeking an experienced and motivated Applied Scientist with machine learning engineering background who loves to innovate at the intersection of customer experience, deep learning, and high-scale machine learning systems.
We are looking for a talented Applied Scientist with a strong background in machine learning engineering to join our team and help us grow the business. In this role, you will partner with a team of engineers and scientists to build advanced machine learning models and infrastructure, from training to inference, including emerging LLM-based systems, that deliver highly relevant ads to shoppers across all Amazon platforms and surfaces worldwide.
Key job responsibilities
As an Applied Scientist, you will:
- Develop scalable and effective machine learning models and optimization strategies to solve business problems.
- Conduct research on new machine learning modeling to optimize all aspects of Sponsored Products business.
- Enhance the scalability, automation, and efficiency of large-scale training and real-time inference systems.
- Pioneer the development of LLM inference infrastructure to support next-generation GenAI workloads at Amazon Ads scale.
BASIC QUALIFICATIONS
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
PREFERRED QUALIFICATIONS
- Experience using Unix/Linux
- Experience in professional software development
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, NY, New York - 172,400.00 - 223,400.00 USD annually
USA, VA, Arlington - 142,800.00 - 193,200.00 USD annually
USA, WA, SEATTLE - 142,800.00 - 193,200.00 USD annually
DESCRIPTION
About Sponsored Products and Brands
The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.
About our team
SPB Ad Response Prediction team is your choice, if you want to join a highly motivated, collaborative, and fun-loving team with a strong entrepreneurial spirit and bias for action. We are seeking an experienced and motivated Applied Scientist with machine learning engineering background who loves to innovate at the intersection of customer experience, deep learning, and high-scale machine learning systems.
We are looking for a talented Applied Scientist with a strong background in machine learning engineering to join our team and help us grow the business. In this role, you will partner with a team of engineers and scientists to build advanced machine learning models and infrastructure, from training to inference, including emerging LLM-based systems, that deliver highly relevant ads to shoppers across all Amazon platforms and surfaces worldwide.
Key job responsibilities
As an Applied Scientist, you will:
- Develop scalable and effective machine learning models and optimization strategies to solve business problems.
- Conduct research on new machine learning modeling to optimize all aspects of Sponsored Products business.
- Enhance the scalability, automation, and efficiency of large-scale training and real-time inference systems.
- Pioneer the development of LLM inference infrastructure to support next-generation GenAI workloads at Amazon Ads scale.
BASIC QUALIFICATIONS
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
PREFERRED QUALIFICATIONS
- Experience using Unix/Linux
- Experience in professional software development
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, NY, New York - 172,400.00 - 223,400.00 USD annually
USA, VA, Arlington - 142,800.00 - 193,200.00 USD annually
USA, WA, SEATTLE - 142,800.00 - 193,200.00 USD annually
See all 381+ H-1B1 Singapore Visa Applied Scientist Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B1 Singapore Visa Applied Scientist Jobs.
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-1B1 visa process. Use Migrate Mate to filter Applied Scientist roles by employers who have filed H-1B1 visa or H-1B visa 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 visa 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 visa 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 visa 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 visa 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 visa 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.