E-3 Visa ML Engineer Jobs
ML Engineer roles in the U.S. qualify as E-3 specialty occupations, meaning Australian nationals can secure visa sponsorship without entering a lottery. The E-3 renews indefinitely in two-year increments, so a single employer willing to file an LCA can support a long-term U.S. career in machine learning.
See All ML Engineer JobsOverview
Showing 5 of 2,276+ ML Engineer jobs
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 2,276+ ML Engineer jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new ML Engineer roles.
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
See all 2,276+ ML Engineer jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new ML Engineer roles.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a ML Engineer
Frame your degree field precisely
Computer science, statistics, and electrical engineering degrees map cleanly to ML Engineer roles under E-3 specialty occupation rules. A general IT or business degree may require a detailed equivalency argument, so gather transcripts and course descriptions before any employer conversation.
Target employers with existing LCA filings
Search the DOL's OFLC disclosure data for companies that have filed LCAs under ML or software engineering job titles. These employers already understand the process and are far less likely to withdraw an offer once they see E-3 sponsorship is required.
Use Migrate Mate to find sponsors fast
Migrate Mate filters U.S. ML Engineer roles by E-3 visa sponsorship availability, so you're not cold-applying to employers who've never heard of the visa. Use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork once an offer lands.
Clarify remote work status before signing
Your LCA lists a specific worksite address. If your ML role is fully remote or split across multiple offices, the employer must file separate LCA certifications for each location. Confirm this with your hiring manager before you accept an offer.
Prepare a specialty occupation memo proactively
Consular officers occasionally question whether an ML Engineer role meets the degree-required standard, particularly at startups without HR infrastructure. Ask your employer to prepare a brief job duties memo referencing DOL's Occupational Employment and Wage Statistics data for the SOC code.
Time your consulate appointment around LCA certification
The LCA must be DOL-certified before you can lodge a visa application. DOL targets seven business days for standard certification. Build that window into your start-date negotiation so your employer isn't pressuring a consulate appointment before the paperwork is ready.
ML Engineer jobs are hiring across the US. Find yours.
Find ML Engineer JobsML Engineer E-3 Visa: Frequently Asked Questions
How do I find ML Engineer jobs that offer E-3 visa sponsorship?
Migrate Mate is the most direct way to search for ML Engineer roles filtered specifically by E-3 sponsorship availability. Most general job boards don't distinguish between visa types, so you end up applying to roles where the employer has never filed an LCA. Migrate Mate surfaces companies already set up to sponsor Australian nationals under the E-3.
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 an ML Engineer role qualify as a specialty occupation for the E-3?
Yes. ML Engineer positions consistently require at least a bachelor's degree in computer science, mathematics, statistics, or a closely related engineering field, which satisfies the E-3 specialty occupation definition. Roles that list a degree as preferred rather than required can create problems, so review the job description carefully before your employer files the LCA.
How does the E-3 compare to the H-1B for ML Engineers?
The E-3 has no lottery and no annual cap, so your employer can file any time of year and expect a decision without random selection. H-1B registration opens once a year in March, with roughly a one-in-four chance of selection. For Australian ML Engineers, the E-3 is a direct path that doesn't depend on lottery luck or a specific filing window.
Can I switch ML Engineer employers after arriving on an E-3?
Yes, but each new employer must file a fresh LCA and you need a new E-3 visa stamp if you leave the U.S. before starting the new role. If you're already in the U.S., you can begin working for the new employer once the LCA is certified and the new visa documentation is in order, without waiting for a new consulate appointment in most cases.
See which ML Engineer employers are hiring and sponsoring visas right now.
Search ML Engineer Jobs