🇦🇺 Aussies: Get Your E-3 Visa for $499 🇦🇺

E-3 Visa Machine Learning Engineer Jobs

Machine Learning Engineer roles qualify as E-3 specialty occupations, and Australian nationals can secure U.S. sponsorship without entering an H-1B lottery. The E-3 requires a bachelor's degree in a relevant field, certifies a prevailing wage through a DOL Labor Condition Application, and renews in two-year increments with no cap.

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Overview

Open Jobs2,276+
Top Visa TypeE-3
Work Type82% On-site
Median Salary$262K
Top LocationCupertino, CA
Most JobsApple

Showing 5 of 2,276+ Machine Learning Engineer jobs

Apple
Machine Learning Engineer
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Apple
New 1h ago
Machine Learning Engineer
Apple
Cupertino, California
Software Engineering
AI (Artificial Intelligence)
ML (Machine Learning)
$212,000/yr - $386,300/yr
On-Site
10+ yrs exp.
Doctorate
10,000+

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Waymo LLC
Senior ML Engineer, LLM / VLM Distillation
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Waymo LLC
New 1h ago
Senior ML Engineer, LLM / VLM Distillation
Waymo LLC
Mountain View, California
Software Engineering
AI (Artificial Intelligence)
ML (Machine Learning)
Data Science
$213,000 - $263,000/yr
Hybrid
Associate's

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OpenAI
Machine Learning Engineer
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OpenAI
Added 1d ago
Machine Learning Engineer
OpenAI
San Francisco, California
Data Science & Analytics
Data Engineering
Software Engineering
Data Science
AI (Artificial Intelligence)
$295,000/yr - $445,000/yr
Hybrid
4+ yrs exp.
None
51-200

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Adobe
AI/ML Intern - Machine Learning Engineer
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Adobe
Added 2d ago
AI/ML Intern - Machine Learning Engineer
Adobe
San Jose, California
Data Science & Analytics
Software Engineering
Data Science
AI (Artificial Intelligence)
ML (Machine Learning)
Revenue Operations & Enablement
$45/hr - $55/hr
Hybrid
Bachelor's
10,000+

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Waymo
Senior Machine Learning Engineer
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Waymo
Added 2d ago
Senior Machine Learning Engineer
Waymo
Mountain View, California
Software Engineering
Data Science & Analytics
AI (Artificial Intelligence)
ML (Machine Learning)
Data Science
$213,000/yr - $263,000/yr
On-Site
4+ yrs exp.
Bachelor's

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Tips for Finding E-3 Visa Sponsorship as a Machine Learning Engineer

Align your degree to the role

U.S. consular officers assess whether your qualification directly supports the ML engineer job description. A degree in computer science, statistics, or a related quantitative discipline strengthens the specialty occupation case; a general IT degree with no ML coursework can draw scrutiny.

Target employers with LCA filing history

Employers who have filed Labor Condition Applications before understand the DOL certification timeline. Searching DOL's OFLC disclosure data for ML-related job titles surfaces companies already familiar with the E-3 process, cutting your time-to-offer significantly.

Search verified E-3 sponsorship roles on Migrate Mate

Migrate Mate filters Machine Learning Engineer listings specifically for E-3 visa sponsorship, so you're not cold-applying to roles where the employer hasn't confirmed willingness. Use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork once you land an offer.

Frame your ML expertise for U.S. job descriptions

Australian ML engineers often list tools like PyTorch and TensorFlow but omit the specific deployment contexts U.S. hiring managers scan for, such as large-scale inference infrastructure or MLOps pipelines. Rewrite your resume around production impact, not research output.

Clarify E-3 requirements before your offer letter

Before signing, confirm that your offer letter specifies your job title, duties, and degree requirement in terms that support an LCA filing. Vague titles like 'Data Engineer' can complicate the specialty occupation determination if ML work isn't explicitly documented.

Account for LCA certification in your start date

DOL certifies most LCAs within seven business days, but your employer needs to post a public notice at the worksite for ten consecutive days before filing. Build at least three weeks between offer acceptance and your proposed start date to avoid timeline pressure.

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Machine Learning Engineer E-3 Visa: Frequently Asked Questions

How do I find Machine Learning Engineer jobs with E-3 visa sponsorship?

Migrate Mate is the most direct way to search. It filters Machine Learning Engineer roles specifically by E-3 sponsorship, so every listing you see is from an employer who has indicated willingness to sponsor Australian nationals. Standard job boards don't filter by visa type, which means most applications go to employers unprepared for the LCA process.

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 Machine Learning Engineer role qualify as a specialty occupation for the E-3?

Yes. Machine Learning Engineer is classified under SOC code 15-2051 (Data Scientists) and 15-1252 (Software Developers), both of which require at minimum a bachelor's degree in a specific technical field. The role's reliance on advanced mathematics, statistical modeling, and software engineering satisfies the DOL and USCIS specialty occupation standard.

How does the E-3 compare to the H-1B for Machine Learning Engineers?

The E-3 is available only to Australian citizens but has no lottery and no annual cap, so you can apply any time a qualifying job offer exists. The H-1B subjects most applicants to a randomized selection process with roughly a 25 percent selection rate. For Australian ML engineers, the E-3 is a direct path that doesn't depend on lottery luck.

Can I switch Machine Learning Engineer employers while on an E-3?

Yes, but your new employer must file a fresh LCA and you'll need a new E-3 visa stamp if yours is tied to the previous employer. Unlike H-1B, there's no USCIS portability provision, so you need to time the transition carefully. Your status remains valid while you're working for the original employer and during the new application process.

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