H-1B1 Singapore Visa ML Engineer Jobs
ML Engineer jobs with H-1B1 Singapore visa sponsorship are accessible to Singaporean nationals without a lottery or USCIS petition. The 5,400-visa annual cap rarely fills, and your employer files the Labor Condition Application directly through DOL before you apply at the U.S. consulate in Singapore.
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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 ML Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B1 Singapore Visa ML Engineer Jobs.
Get Access To All JobsTips for Finding Visa Sponsorship as a ML Engineer
Frame your ML credentials for specialty occupation
Your offer letter and degree must establish that the ML Engineer role requires a specific technical field of study. A bachelor's in computer science or statistics works; a general business degree usually doesn't, even with years of ML experience.
Search LCA filings to find H-1B1-ready employers
Use Migrate Mate to filter job listings by employers with verified H-1B1 Singapore LCA filing history, so you're targeting companies that have already completed the DOL process for Singaporean nationals in technical roles.
Check prevailing wage before negotiating your offer
Your employer must pay at least the DOL prevailing wage for your ML Engineer role in their location. Run the OFLC Wage Search before your offer conversation so you know the wage floor and can negotiate from an informed position.
Confirm your employer's E-Verify enrollment early
E-Verify participation isn't required for all H-1B1 visa employers, but many ML-heavy companies are already enrolled due to federal contracting obligations. Confirming enrollment before accepting an offer prevents delays if your employer needs to register first.
Use O*NET to document specialty occupation alignment
ML Engineer maps to specific SOC codes in O*NET that list degree requirements in a directly related field. Sharing the O*NET occupation profile with your employer's HR team speeds up LCA preparation and reduces back-and-forth on job description language.
Time your consulate appointment around LCA certification
DOL certifies the LCA in about seven business days. Schedule your U.S. consulate appointment in Singapore only after certification is confirmed, since you must present the certified LCA at the interview to proceed.
Frequently Asked Questions
Does an ML Engineer role qualify as a specialty occupation for the H-1B1 Singapore visa?
Yes. ML Engineer roles consistently qualify because they require a bachelor's degree or higher in a directly related technical field, such as computer science, mathematics, or statistics. The DOL Labor Condition Application and your offer letter together establish that connection. Generic titles like 'data analyst' require more documentation, but ML Engineer with a technical degree is a strong fit for the specialty occupation standard.
How does the H-1B1 Singapore visa differ from the H-1B for ML Engineers?
The H-1B1 Singapore visa skips the H-1B lottery entirely and has a separate 5,400-visa annual cap that has never been exhausted. Your employer still files a Labor Condition Application with DOL, but there's no USCIS petition. You apply directly at the U.S. consulate in Singapore. The trade-off is that H-1B visa1 doesn't carry dual intent, so you'll need to demonstrate nonimmigrant intent at each renewal.
How do I find ML Engineer employers who will sponsor the H-1B1 Singapore visa?
Use Migrate Mate to search for ML Engineer roles filtered by employers with verified H-1B1 Singapore LCA filing history. That data comes from DOL disclosure records, so you're identifying companies that have already completed the filing process for Singaporean nationals, not just ones that claim to sponsor visas in job descriptions.
Can I switch ML Engineer employers after arriving on an H-1B1 Singapore visa?
Yes, but each new employer must file a fresh Labor Condition Application with DOL before you begin working for them. Unlike H-1B portability under AC21, H-1B1 visa doesn't allow you to start work with a new employer while the application is pending. Plan the transition so your new employer's LCA is certified and your updated visa is in hand before you leave your current role.
What happens to my H-1B1 Singapore status if my ML Engineer role is reclassified or my project scope changes significantly?
If your employer materially changes your job duties to the point that the role no longer matches the certified Labor Condition Application, they need to file an amended LCA. This matters for ML Engineers who shift from research roles into product management or general software engineering. Document the technical nature of your work continuously, and flag significant title or duty changes to your employer's HR team so the LCA stays current.