E-3 Visa Machine Learning Jobs
Machine learning engineers rank among the strongest candidates for E-3 visa sponsorship because the role satisfies the specialty occupation requirement under U.S. immigration law. As an Australian national, you can work in the U.S. on an E-3 with no lottery, no annual cap pressure, and renewable two-year terms for as long as you hold a qualifying offer.
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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
Align your credentials to U.S. specialty occupation standards
Your Australian bachelor's degree in computer science, mathematics, or a related quantitative field satisfies the E-3 education requirement. If your degree is in a different discipline, document how your coursework and ML experience map directly to the role's technical demands.
Target employers with active LCA filing history
Search DOL's Office of Foreign Labor Certification disclosure data to identify companies that have filed Labor Condition Applications for machine learning roles. Repeat filers understand the E-3 process and won't treat your visa as an obstacle during hiring.
Clarify E-3 versus H-1B costs before negotiating offers
E-3 sponsorship skips the H-1B lottery entirely and involves fewer employer filing fees. Raising this early in offer discussions removes a common hesitation, especially at smaller AI labs and startups that are unfamiliar with Australian-specific visa options.
Get your LCA filed before your start date locks in
The employer must obtain a certified Labor Condition Application from DOL before you can proceed to the consulate. LCA certification typically takes seven business days, so confirm this step is underway as soon as your offer letter is signed.
Use Migrate Mate's E-3 filing service to manage your paperwork
Once you have a job offer, use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork end-to-end. This keeps the process on track and reduces the risk of documentation errors that delay your consulate appointment.
Prepare role-specific evidence for your consulate interview
Consular officers assess whether your ML role genuinely requires a specialized degree. Bring your offer letter, a job description referencing specific technical requirements, and documentation tying your qualifications to those requirements rather than relying on a generic title.
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Find Machine Learning JobsMachine Learning E-3 Visa: Frequently Asked Questions
How do I find machine learning jobs that offer E-3 visa sponsorship?
Migrate Mate lists machine learning roles from U.S. employers who are open to E-3 sponsorship for Australian nationals. Filtering by visa type saves time compared to applying broadly and discovering late in the process that a company won't support the E-3. From there, you can move directly into the filing process once an offer is in hand.
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 role qualify as a specialty occupation for the E-3?
Yes, machine learning engineering consistently qualifies as a specialty occupation because the role requires a theoretical and practical application of highly specialized knowledge, typically a bachelor's degree or higher in computer science, statistics, or a related quantitative field. If your job description includes model development, training pipelines, or deployment architecture, it will ordinarily satisfy USCIS criteria.
How does the E-3 visa compare to the H-1B for machine learning engineers?
The E-3 has a 10,500 annual allocation that has never been exhausted, so there is no lottery and no registration cap to worry about. The H-1B requires entering a random lottery with roughly a one-in-four chance of selection. For Australian ML engineers, the E-3 is a direct path that can be initiated as soon as you hold a qualifying offer, with no randomness involved.
Can I switch machine learning jobs while on an E-3 visa?
Yes, but your new employer must file a fresh LCA with DOL and you will need to obtain a new E-3 visa stamp before re-entering the U.S. or complete a change of employer while maintaining lawful status inside the country. Unlike the H-1B portability rules, there is no mechanism to port an E-3 to a new employer mid-stream, so plan for a processing window of at least a few weeks.
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