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 JobsINTRODUCTION
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation.
This role follows a hybrid work schedule and you will report to a Research Director of AI Foundations.
ROLE AND RESPONSIBILITIES
You will:
- Work on distillation from large foundation models to smaller real-time models.
- Explore LLM/VLM distillation recipes to maximally transfer the quality gains from teachers.
- Customize distillation data and recipe for business-critical Semantics tasks.
BASIC QUALIFICATIONS
You have:
- Experience in building large-scale deep learning systems.
- Experience in VLM/LLM models.
PREFERRED QUALIFICATIONS
We prefer:
- Experience in training or deploying multi-modal LLMs.
- Distillation related experience.
COMPENSATION
The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
- Salary Range: $213,000—$263,000 USD
INTRODUCTION
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation.
This role follows a hybrid work schedule and you will report to a Research Director of AI Foundations.
ROLE AND RESPONSIBILITIES
You will:
- Work on distillation from large foundation models to smaller real-time models.
- Explore LLM/VLM distillation recipes to maximally transfer the quality gains from teachers.
- Customize distillation data and recipe for business-critical Semantics tasks.
BASIC QUALIFICATIONS
You have:
- Experience in building large-scale deep learning systems.
- Experience in VLM/LLM models.
PREFERRED QUALIFICATIONS
We prefer:
- Experience in training or deploying multi-modal LLMs.
- Distillation related experience.
COMPENSATION
The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
- Salary Range: $213,000—$263,000 USD
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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 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.
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