H-1B1 Singapore Visa Machine Learning Engineer Jobs
Machine Learning Engineer roles qualify for H-1B1 Singapore visa sponsorship because the position meets the specialty occupation standard requiring a directly related bachelor's degree in computer science, statistics, or a related field. Singapore nationals skip the H-1B lottery entirely, and the 5,400-visa annual cap has never been exhausted.
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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 Machine Learning Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B1 Singapore Visa Machine Learning Engineer Jobs.
Get Access To All JobsTips for Finding Visa Sponsorship as a Machine Learning Engineer
Map your degree to SOC codes
H-1B1 visa eligibility hinges on your degree matching the specific role. Pull the O*NET profile for Machine Learning Engineers and confirm your transcript reflects the field listed. Mismatches on the LCA are a common rejection trigger.
Target employers with active LCA filings
Use Migrate Mate to filter for companies that have filed Labor Condition Applications for machine learning or data science roles. Employers already familiar with H-1B1 Singapore filings move faster and make fewer documentation errors.
Verify your offer letter specifies specialty occupation
Your offer letter must describe duties that require a directly related bachelor's degree or higher. A vague title like 'engineer' without role-specific language can stall DOL certification. Ask your employer to mirror the O*NET task descriptions.
Check prevailing wage before negotiating salary
The LCA requires your employer to pay at least the prevailing wage for your location and role. Look up the current rate using OFLC Wage Search before your offer stage so you're not renegotiating after the employer submits the LCA to DOL.
Prepare NUS or NTU transcripts for equivalency review
Singaporean three-year degree programs sometimes prompt consular officers to request an equivalency evaluation. Have your academic records ready and, if needed, a credential evaluation letter confirming your qualification meets U.S. bachelor's-level standards.
Confirm your employer is E-Verify enrolled before your start date
Unlike H-1B, the H-1B1 visa doesn't require USCIS petition approval, but your employer still needs to complete E-Verify verification once you start. Confirm enrollment before you resign your current position to avoid onboarding delays.
Frequently Asked Questions
Does a Machine Learning Engineer role qualify as a specialty occupation for H-1B1 Singapore?
Yes. Machine Learning Engineer is classified under computer and information research science occupations, which consistently meet the specialty occupation standard requiring a directly related bachelor's degree. The role's core duties, model development, algorithm design, and statistical analysis, map clearly to degrees in computer science, mathematics, or statistics. Bring documentation connecting your specific job duties to your academic field when you attend your consulate interview.
How does the H-1B1 Singapore differ from the H-1B for machine learning roles?
The H-1B1 Singapore skips the annual lottery entirely and has a dedicated cap of 5,400 visas per year that has never been exhausted. You apply directly at the U.S. consulate in Singapore rather than through a USCIS petition, which cuts months off the timeline. The trade-off is that H-1B1 doesn't support dual intent, so demonstrated immigrant intent can complicate renewals.
How do I find employers actively willing to sponsor H-1B1 Singapore for ML roles?
Search Migrate Mate for companies with Labor Condition Application filing history in machine learning and data science categories. Employers who have filed LCAs before understand the H-1B1 process and are less likely to withdraw offers due to unfamiliarity with Singapore-specific visa procedures. Prioritize companies in tech, finance, and AI research where H-1B1 Singapore sponsorship is more established.
Can I switch employers on an H-1B1 Singapore while staying in the U.S.?
Yes, but the process restarts with your new employer. Your new employer must file a fresh LCA with DOL for your new role and location, and you'll typically need to return to Singapore for a new consulate appointment rather than changing status from within the U.S. Plan for a gap between roles and confirm your new employer's timeline before resigning.
What happens if my H-1B1 Singapore approval is delayed and my start date passes?
The H-1B1 visa doesn't have a formal cap-gap provision like the H-1B, so consulate processing delays directly affect your start date. Most consulates in Singapore process H-1B1 applications within a few weeks, but administrative processing can extend this. Communicate delays to your employer immediately and confirm whether they can adjust your start date, since the LCA has a specific period of authorized employment.