H-1B1 Singapore Visa Senior ML Engineer Jobs
Senior ML Engineer roles qualify for H-1B1 Singapore visa sponsorship as specialty occupations requiring at least a bachelor's degree in computer science, machine learning, or a related field. No lottery, no USCIS petition filing, you apply directly at the U.S. consulate in Singapore with a certified Labor Condition Application from your employer.
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Get Access To All JobsDESCRIPTION
We are seeking a Machine Learning Engineer to join the MusicIQ team and drive the design and evolution of scalable, high-performance machine learning systems. In this role, you will work at the intersection of large-scale distributed systems, data pipelines, and applied ML/AI, building platforms that power content intelligence, and catalog serving at Amazon scale.
You will partner closely with Applied Scientists, Product Managers, and partner engineering teams to deliver systems that are reliable, cost-efficient, and optimized for both offline processing and real-time customer experiences. Your work will focus on improving system scalability, data quality, and operational efficiency, while enabling faster iteration and integration of AI-driven capabilities across the catalog ecosystem.
Key job responsibilities
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Enhance core ML infrastructure for tagging music content and improve music similarity capabilities.
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Partner with research scientists to deploy scalable ML models to production, improving model performance and architecture.
-
Investigate design approaches, prototype new technologies, and evaluate their technical feasibility (e.g., AutoML, real-time ML serving systems).
-
Collaborate with scientists to design and build data pipelines for processing massive datasets and scaling machine learning models.
-
Develop and maintain platforms and services for building, evaluating, and deploying machine learning models used in real-world applications.
BASIC QUALIFICATIONS
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3+ years of non-internship professional software development experience
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2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
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1+ years of software development engineer or related occupational experience
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1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
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1+ years of Object Oriented Design experience
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Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
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Experience programming with at least one software programming language
PREFERRED QUALIFICATIONS
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3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
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Bachelor's degree in computer science or equivalent
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.
COMPENSATION
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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.
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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 - 143,700.00 - 194,400.00 USD annually
DESCRIPTION
We are seeking a Machine Learning Engineer to join the MusicIQ team and drive the design and evolution of scalable, high-performance machine learning systems. In this role, you will work at the intersection of large-scale distributed systems, data pipelines, and applied ML/AI, building platforms that power content intelligence, and catalog serving at Amazon scale.
You will partner closely with Applied Scientists, Product Managers, and partner engineering teams to deliver systems that are reliable, cost-efficient, and optimized for both offline processing and real-time customer experiences. Your work will focus on improving system scalability, data quality, and operational efficiency, while enabling faster iteration and integration of AI-driven capabilities across the catalog ecosystem.
Key job responsibilities
-
Enhance core ML infrastructure for tagging music content and improve music similarity capabilities.
-
Partner with research scientists to deploy scalable ML models to production, improving model performance and architecture.
-
Investigate design approaches, prototype new technologies, and evaluate their technical feasibility (e.g., AutoML, real-time ML serving systems).
-
Collaborate with scientists to design and build data pipelines for processing massive datasets and scaling machine learning models.
-
Develop and maintain platforms and services for building, evaluating, and deploying machine learning models used in real-world applications.
BASIC QUALIFICATIONS
-
3+ years of non-internship professional software development experience
-
2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
-
1+ years of software development engineer or related occupational experience
-
1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
-
1+ years of Object Oriented Design experience
-
Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
-
Experience programming with at least one software programming language
PREFERRED QUALIFICATIONS
-
3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
-
Bachelor's degree in computer science or equivalent
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.
COMPENSATION
-
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 - 143,700.00 - 194,400.00 USD annually
See all 844+ H-1B1 Singapore Visa Senior ML Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B1 Singapore Visa Senior ML Engineer Jobs.
Get Access To All JobsTips for Finding Visa Sponsorship as a Senior ML Engineer
Verify your degree maps to the role
H-1B1 visa requires your specific degree field to match the specialty occupation. A computer science or electrical engineering degree maps cleanly to Senior ML Engineer roles, but a general business or mathematics degree alone may require supporting documentation from your employer.
Target employers with active LCA filings
Search DOL's OFLC Wage Search to find companies that have filed Labor Condition Applications for ML Engineer or related titles. Prior LCA activity signals the employer already understands H-1B1 Singapore sponsorship mechanics, cutting weeks off your onboarding process.
Search verified H-1B1 sponsoring employers on Migrate Mate
Migrate Mate filters Senior ML Engineer roles by employers with documented H-1B1 Singapore sponsorship history, so you're not wasting interviews on companies that have never navigated the consular filing route for Singaporean nationals.
Confirm your offer letter names a fixed worksite
LCA certification ties wages to a specific work location. If your role is remote or multi-site, your employer must file a separate LCA for each primary worksite, clarify this before signing, since it affects DOL certification timelines and your consulate appointment package.
Use O*NET to align your resume to the occupation definition
Consular officers assess whether your duties match the specialty occupation definition. Pull the O*NET occupation profile for Software Developers or Computer and Information Research Scientists and mirror its task language in your resume and employer support letter.
Request a two-year annotation and plan your renewal before month 18
H-1B1 Singapore visas are granted in one-year or two-year increments. Ask your employer to structure the filing for the maximum two-year period, then initiate renewal paperwork at least 45 days before expiry to avoid gaps in authorized stay.
Frequently Asked Questions
Does a Senior ML Engineer role qualify as a specialty occupation for H-1B1 Singapore?
Yes. Senior ML Engineer positions require at least a bachelor's degree in computer science, electrical engineering, or a directly related field, which satisfies the specialty occupation definition under the H-1B1 visa program. Your employer confirms the degree requirement in the Labor Condition Application, and the consular officer reviews that the role genuinely requires that level of education.
How is the H-1B1 Singapore visa different from the H-1B for ML Engineer roles?
The H-1B visa requires USCIS to approve a petition before you can apply, is subject to an annual lottery, and has an 85,000-cap that regularly oversubscribes. The H-1B1 Singapore skips the lottery and the USCIS petition entirely. Your employer files a Labor Condition Application with DOL, then you apply directly at the U.S. consulate in Singapore. The 5,400 annual cap rarely fills, so timing is not a constraint for most applicants.
How do I find Senior ML Engineer jobs where the employer already understands H-1B1 Singapore sponsorship?
Migrate Mate surfaces Senior ML Engineer roles filtered by employers with verified H-1B1 Singapore sponsorship history, so you can focus your search on companies that have already filed LCAs for Singaporean nationals rather than educating hiring managers about a visa category they've never encountered.
Can I start working immediately after my consulate interview is approved?
Not immediately. After a visa issuance decision, your passport is returned with the visa stamp, which you then use to enter the United States. You can begin work on the employment start date listed in your LCA and employer offer letter. Build in time for passport return, travel, and any administrative processing delays before committing to a start date with your employer.
What happens to my H-1B1 status if my employer terminates my Senior ML Engineer role?
H-1B1 Singapore status is employer-specific and tied to the certified LCA. If your employment ends, your authorized stay ends with it and there is no formal grace period equivalent to the H-1B's 60-day portability window. You would need to either depart the United States, secure a new employer willing to file a fresh LCA and support a new consular application, or transition to a different status before your authorized period expires.