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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INTRODUCTION
The Health AI team is at the forefront of machine learning and health science at Apple. We are a close-knit team of highly accomplished, deeply technical research scientists, software engineers, and machine learning engineers passionate about delivering innovative technologies that impact millions of users. We are looking for a senior engineer excited about solving real-world problems in the health domain that make a difference in our customers' lives.
DESCRIPTION
In this role, you will use your skills and experience in software engineering, machine learning, deep learning, and generative AI to design, implement, tune, and evaluate machine learning models and systems. You will solve ambitious problems involving unique data and high-impact products, including state-of-the-art generative AI technologies. The successful candidate should possess excellent interpersonal skills and the ability to work cross-functionally to rapidly apply engineering best practices and novel research techniques at the intersection of Health, ML, and consumer products.
MINIMUM QUALIFICATIONS
- 10+ years of overall software development experience.
- Experience leading a team and/or a proven track record of cross-functional collaboration to deliver customer-facing features with machine learning capabilities in production.
- BS/MS/Ph.D. in Computer Science, Computer Engineering, Machine Learning, or related fields (or equivalent qualification).
PREFERRED QUALIFICATIONS
- Ph.D. in Computer Science, Machine Learning, or a related field.
- Strong background in generative models, natural language processing (NLP), and large language models (LLMs).
- 5+ years of hands-on experience in state-of-the-art machine learning and deep learning applied to large-scale datasets and/or production applications.
- Proficiency developing and working with large-scale models using modern machine learning packages (e.g., TensorFlow, PyTorch, Jax, Huggingface).
- Proficiency in building and troubleshooting modern agentic systems (prompt tuning, routing, planning, multi-agent, RAG, tool use, memory management, etc.).
- Experience with healthcare data, products, and workflows.
- Ability to thrive in a fast-paced environment, deal with uncertainty, and adapt to new and changing requirements.
- Proven track record of contributing to diverse teams in a collaborative environment.
- A passion for building outstanding and innovative products. This position involves a wide variety of interdisciplinary skills.
PAY & BENEFITS
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $212,000 and $386,300, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.

INTRODUCTION
The Health AI team is at the forefront of machine learning and health science at Apple. We are a close-knit team of highly accomplished, deeply technical research scientists, software engineers, and machine learning engineers passionate about delivering innovative technologies that impact millions of users. We are looking for a senior engineer excited about solving real-world problems in the health domain that make a difference in our customers' lives.
DESCRIPTION
In this role, you will use your skills and experience in software engineering, machine learning, deep learning, and generative AI to design, implement, tune, and evaluate machine learning models and systems. You will solve ambitious problems involving unique data and high-impact products, including state-of-the-art generative AI technologies. The successful candidate should possess excellent interpersonal skills and the ability to work cross-functionally to rapidly apply engineering best practices and novel research techniques at the intersection of Health, ML, and consumer products.
MINIMUM QUALIFICATIONS
- 10+ years of overall software development experience.
- Experience leading a team and/or a proven track record of cross-functional collaboration to deliver customer-facing features with machine learning capabilities in production.
- BS/MS/Ph.D. in Computer Science, Computer Engineering, Machine Learning, or related fields (or equivalent qualification).
PREFERRED QUALIFICATIONS
- Ph.D. in Computer Science, Machine Learning, or a related field.
- Strong background in generative models, natural language processing (NLP), and large language models (LLMs).
- 5+ years of hands-on experience in state-of-the-art machine learning and deep learning applied to large-scale datasets and/or production applications.
- Proficiency developing and working with large-scale models using modern machine learning packages (e.g., TensorFlow, PyTorch, Jax, Huggingface).
- Proficiency in building and troubleshooting modern agentic systems (prompt tuning, routing, planning, multi-agent, RAG, tool use, memory management, etc.).
- Experience with healthcare data, products, and workflows.
- Ability to thrive in a fast-paced environment, deal with uncertainty, and adapt to new and changing requirements.
- Proven track record of contributing to diverse teams in a collaborative environment.
- A passion for building outstanding and innovative products. This position involves a wide variety of interdisciplinary skills.
PAY & BENEFITS
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $212,000 and $386,300, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
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Get Access To All JobsTips 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.
Machine Learning Engineer jobs are hiring across the US. Find yours.
Find Machine Learning Engineer JobsMachine 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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