E-3 Visa Senior ML Engineer Jobs
Senior ML Engineer roles in the U.S. qualify as E-3 specialty occupations, requiring a bachelor's degree in computer science, machine learning, or a related field. Australian citizens can secure E-3 visa sponsorship without entering a lottery, making these roles far more accessible than comparable H-1B positions.
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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 E-3 Visa Sponsorship as a Senior ML Engineer
Frame your ML credentials for U.S. specialty occupation
Your Australian three-year bachelor's degree is generally accepted as equivalent to a U.S. four-year degree, but document the equivalency explicitly. Include transcripts, course outlines, and any postgraduate work so your employer's LCA filing stands on firm ground.
Target employers with active DOL LCA filing history
Search the DOL's Office of Foreign Labor Certification disclosure data for companies that have filed LCAs for machine learning or software engineering roles. Prior LCA activity signals the hiring team already understands E-3 sponsorship requirements and won't stall on your offer.
Clarify the E-3 timeline before accepting an offer
The LCA certification typically takes seven business days, followed by a consulate appointment. Ask your prospective employer when they expect to file so you can align your start date, especially if you're transitioning from another visa status.
Use Migrate Mate's E-3 filing service for end-to-end filing
Once you have an offer, use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork. The service manages everything from DOL prevailing wage certification through to your consulate appointment, reducing the risk of documentation errors that can delay your start date.
Distinguish ML Engineer from data scientist in job documents
USCIS and DOL evaluate specialty occupation based on the role as described, not the employer's internal title. Ensure your offer letter, LCA, and support letter consistently describe ML engineering duties tied to a specific degree field, not a generalist data role.
Address E-3 dual intent limitations early in negotiations
The E-3 is a nonimmigrant visa that doesn't permit dual intent, so if you plan to pursue permanent residency later, raise that with your employer before filing. Sponsors who understand this dynamic can structure a longer-term immigration plan alongside your initial E-3.
Senior ML Engineer jobs are hiring across the US. Find yours.
Find Senior ML Engineer JobsSenior ML Engineer E-3 Visa: Frequently Asked Questions
How do I find Senior ML Engineer jobs that offer E-3 visa sponsorship?
Migrate Mate is built specifically for this search. It surfaces Senior ML Engineer roles where employers have demonstrated E-3 or equivalent sponsorship willingness, so you're not cold-applying to companies unfamiliar with the visa. Filtering by role and visa type gets you to relevant opportunities without manually cross-referencing DOL disclosure databases.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does a Senior ML Engineer role qualify as an E-3 specialty occupation?
Yes. Senior ML Engineer positions require at minimum a bachelor's degree in computer science, electrical engineering, mathematics, or a closely related field, which satisfies the E-3 specialty occupation standard. The key is that the role's duties must theoretically and practically require that specific degree. Generalist engineering titles that accept any bachelor's degree can create LCA complications, so your offer letter should describe ML-specific responsibilities.
How does the E-3 visa compare to H-1B for Senior ML Engineers?
The E-3 has a 10,500 annual cap that has never been fully used, so there's no lottery and no random selection. H-1B requires registration in an annual lottery with far lower odds of selection. For Australian ML engineers, this means you can receive and accept an offer and begin the filing process immediately, without waiting for a lottery result in April or deferring a start date by up to a year.
Can I transfer my E-3 if I change ML engineering roles or employers?
Yes, but each new employer must file a fresh LCA with the DOL and you'll need to attend a new consulate appointment or, if you're already in the U.S., your employer can file a change of status petition. There's no portability mechanism like AC21 that exists for H-1B holders, so plan for a processing gap of several weeks between roles.
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