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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The CoreAI Platform and Tools organization is building transformative experiences that leverage the latest AI technology while upholding Microsoft’s commitment to ethical and responsible standards for Artificial Intelligence. The Responsible AI (RAI) service components you build will be accessed by hundreds of millions of consumers across the globe and will touch all facets of Artificial Intelligence. The Responsible AI team within this division is looking for an experienced Applied Scientist II and a Senior Applied Scientist with a proven track record to help tackle the challenges of enabling customers to leverage the latest advancements in AI responsibly.
Responsibilities
- Conduct supervised fine-tuning of LLMs, applying Reinforcement Learning from Human Feedback in the process, and conducting thorough evaluation of those.
- Work with tech lead on the design and implementation of Agent adversarial evaluations and safety mitigations, enabling agent creators to identify potential risks and apply appropriate safeguards to ensure the safety and security of Agents.
- You will collaborate closely with the Responsible AI engineering team to deliver these mitigations at scale for Responsible AI customers, refine existing implementations based on operational performance, and troubleshoot and resolve end-to-end issues.
Qualifications Required Qualifications:
- Bachelor's Degree in Computer Science, Computational Linguistics, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
- OR Master's Degree in Computer Science, Computational Linguistics, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Computer Science, Computational Linguistics, or related field
- OR equivalent experience.
Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Preferred Qualifications:
- Master's Degree in Computer Science, Computational Linguistics, related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Computer Science, Computational Linguistics, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.
- 2+ years of science experience owning feature design, model development, evaluation and deployment.
- 3+ years of science experience owning feature design, model development, evaluation and deployment. Full stack (client-to-service) development experience is a plus.
- Rich experience in machine learning, particularly in NLP and deep learning.
- Experience with language model training and evaluation is a big plus.
- Experience with research in Responsible AI is a big plus.
- Proficiency in programming languages such as Python, C#, and familiarity with machine learning frameworks including PyTorch and Triton.
- Experience with data processing and handling large datasets.
- Experience in engineering methodologies: Unit testing, Test Driven Development, DevOps, and a firm commitment to quality.
- Solid platform/API design, debugging and data analysis skills.
- Ability to work collaboratively in a team and communicate complex concepts effectively.
coreai
Applied Sciences IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process.
Overview
The CoreAI Platform and Tools organization is building transformative experiences that leverage the latest AI technology while upholding Microsoft’s commitment to ethical and responsible standards for Artificial Intelligence. The Responsible AI (RAI) service components you build will be accessed by hundreds of millions of consumers across the globe and will touch all facets of Artificial Intelligence. The Responsible AI team within this division is looking for an experienced Applied Scientist II and a Senior Applied Scientist with a proven track record to help tackle the challenges of enabling customers to leverage the latest advancements in AI responsibly.
Responsibilities
- Conduct supervised fine-tuning of LLMs, applying Reinforcement Learning from Human Feedback in the process, and conducting thorough evaluation of those.
- Work with tech lead on the design and implementation of Agent adversarial evaluations and safety mitigations, enabling agent creators to identify potential risks and apply appropriate safeguards to ensure the safety and security of Agents.
- You will collaborate closely with the Responsible AI engineering team to deliver these mitigations at scale for Responsible AI customers, refine existing implementations based on operational performance, and troubleshoot and resolve end-to-end issues.
Qualifications Required Qualifications:
- Bachelor's Degree in Computer Science, Computational Linguistics, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
- OR Master's Degree in Computer Science, Computational Linguistics, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Computer Science, Computational Linguistics, or related field
- OR equivalent experience.
Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Preferred Qualifications:
- Master's Degree in Computer Science, Computational Linguistics, related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Computer Science, Computational Linguistics, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.
- 2+ years of science experience owning feature design, model development, evaluation and deployment.
- 3+ years of science experience owning feature design, model development, evaluation and deployment. Full stack (client-to-service) development experience is a plus.
- Rich experience in machine learning, particularly in NLP and deep learning.
- Experience with language model training and evaluation is a big plus.
- Experience with research in Responsible AI is a big plus.
- Proficiency in programming languages such as Python, C#, and familiarity with machine learning frameworks including PyTorch and Triton.
- Experience with data processing and handling large datasets.
- Experience in engineering methodologies: Unit testing, Test Driven Development, DevOps, and a firm commitment to quality.
- Solid platform/API design, debugging and data analysis skills.
- Ability to work collaboratively in a team and communicate complex concepts effectively.
coreai
Applied Sciences IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process.
See all 271+ H-1B1 Singapore Visa Applied Scientist Jobs
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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-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.