H-1B1 Singapore Visa Machine Learning Manager Jobs
Machine Learning Manager roles qualify for H-1B1 Singapore visa sponsorship as specialty occupations requiring at least a bachelor's degree in computer science, statistics, or a related field. No lottery, no USCIS petition filing, and the 5,400-visa annual cap has never been exhausted, so your timeline depends on your employer's readiness, not a random draw.
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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).
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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 Machine Learning Manager Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B1 Singapore Visa Machine Learning Manager Jobs.
Get Access To All JobsTips for Finding Visa Sponsorship as a Machine Learning Manager
Verify your degree meets specialty occupation standards
Machine Learning Manager roles require a directly related degree, not just any STEM background. Pull the O*NET profile for this occupation and confirm your degree field maps to the listed education requirements before applying, since mismatches trigger consular questions.
Target employers with existing H-1B1 LCA filings
Search Migrate Mate to find employers who've already filed Labor Condition Applications for H-1B1 Singapore holders. These companies have established DOL compliance workflows, reducing the time between your offer letter and certified LCA.
Request an LCA that covers your managerial scope
Your employer files the LCA with DOL specifying your job duties and wage level. For an ML Manager role, insist the LCA reflects management responsibilities, not just individual contributor duties, or you risk a mismatch during consular review.
Benchmark your offered wage against OFLC Wage Search data
Before signing an offer, run your job title and location through OFLC Wage Search to confirm your salary meets or exceeds the prevailing wage for your SOC code. DOL will deny LCA certification if the offered wage falls short, stalling your entire application.
Prepare NIE documentation if your employer is cap-exempt
If your prospective employer is a university or nonprofit research institution, they may file outside the 5,400 cap entirely. Confirm cap-exempt status with your employer's HR team early, since the consular filing packet differs from standard H-1B1 Singapore applications.
Consolidate your portfolio of ML project outcomes before the interview
Consular officers assess specialty occupation by reviewing your actual work, not just your title. Bring documented evidence of ML models you've shipped, team size you've managed, and measurable business outcomes to substantiate your Manager classification at the interview window.
Frequently Asked Questions
Does a Machine Learning Manager role qualify as a specialty occupation for the H-1B1 Singapore visa?
Yes, provided the role requires at least a bachelor's degree in a directly related field such as computer science, statistics, or a related quantitative discipline. Managerial titles add a layer of scrutiny, so your employer's LCA and your consular packet should document that the management duties themselves require that specialized degree, not just the technical work you oversee.
How does the H-1B1 Singapore visa compare to the H-1B for a Machine Learning Manager?
The H-1B1 Singapore visa skips the H-1B lottery entirely, which means your start date isn't tied to an April selection event. Your employer files a Labor Condition Application with DOL and you apply directly at the U.S. consulate in Singapore. The tradeoff is that H-1B visa1 doesn't confer dual intent, so you can't use it as a stepping stone toward a green card without additional planning.
How do I find employers that actively sponsor H-1B1 Singapore visas for Machine Learning Manager roles?
Migrate Mate filters job listings by employers with verified H-1B1 visa LCA filing history, so you can identify companies that have already navigated the DOL certification process for Singaporean professionals. This saves significant time compared to cold-applying and then discovering an employer has no H-1B1 infrastructure after you've received an offer.
Can my employer file the H-1B1 LCA while I'm still working in Singapore?
Yes, and that's the standard sequence. Your employer certifies the LCA with DOL, then you use the certified LCA along with your offer letter and supporting documents to apply at the U.S. Embassy or Consulate General in Singapore. You don't need to be in the United States or hold any prior U.S. status for the process to begin.
What happens to my H-1B1 status if my Machine Learning Manager role changes significantly after I arrive?
Material changes to your job duties, employer, or work location require your employer to file an amended LCA with DOL reflecting the new conditions. If the role shifts from managing ML teams to primarily individual contributor work, the specialty occupation basis of your status could be challenged at renewal. Your employer's immigration counsel should review any substantial title or scope changes before they take effect.