E-3 Visa Machine Learning Research Jobs
Machine Learning Research roles qualify as E-3 specialty occupations, making Australian professionals eligible for U.S. employer sponsorship without entering a lottery. The E-3 visa is renewable indefinitely in two-year increments, so you can build a long-term research career at U.S. labs, universities, and tech companies without the H-1B cap pressure.
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Get Access To All JobsINTRODUCTION
The Siri Speech team is looking for an exceptional Machine Learning Research Engineer to create ML algorithms for Siri, Dictation, and third-party APIs running efficiently on Apple Hardware. You will help productize modern deep learning techniques running on custom Apple hardware and Private Compute Cloud, and create cutting-edge products that push the envelope on Machine Learning for Speech Recognition, Speech Synthesis, and Conversational aspects for various products.
DESCRIPTION
We are looking for a talented ML Research Engineer who is excited by the prospect of working on Siri, Dictation used by millions of users. Our Engineers are creative, inspired, innovative, energetic, self-motivated people who love making and shipping products. Are you one of us? You will primarily be responsible for productizing technologies that help with Accuracy, Personalization and to optimize the algorithms to each of Apple’s Platforms and Devices. To succeed in this role, you must be a strong collaborator, and a creative problem solver who thrives in a fast-paced environment, working across teams and organizations.
MINIMUM QUALIFICATIONS
- Expertise in compiled languages such as Swift, C++, or Objective-C
- Familiarity with model training with PyTorch, JAX or other frameworks
- Applied Machine Learning practitioner
- Ability to synthesize and productize research ideas to millions of users
PREFERRED QUALIFICATIONS
- M.S, PhD in Computer Science or related field, or B.S. with equivalent industry experience
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 $181,100 and $318,400, 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.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
INTRODUCTION
The Siri Speech team is looking for an exceptional Machine Learning Research Engineer to create ML algorithms for Siri, Dictation, and third-party APIs running efficiently on Apple Hardware. You will help productize modern deep learning techniques running on custom Apple hardware and Private Compute Cloud, and create cutting-edge products that push the envelope on Machine Learning for Speech Recognition, Speech Synthesis, and Conversational aspects for various products.
DESCRIPTION
We are looking for a talented ML Research Engineer who is excited by the prospect of working on Siri, Dictation used by millions of users. Our Engineers are creative, inspired, innovative, energetic, self-motivated people who love making and shipping products. Are you one of us? You will primarily be responsible for productizing technologies that help with Accuracy, Personalization and to optimize the algorithms to each of Apple’s Platforms and Devices. To succeed in this role, you must be a strong collaborator, and a creative problem solver who thrives in a fast-paced environment, working across teams and organizations.
MINIMUM QUALIFICATIONS
- Expertise in compiled languages such as Swift, C++, or Objective-C
- Familiarity with model training with PyTorch, JAX or other frameworks
- Applied Machine Learning practitioner
- Ability to synthesize and productize research ideas to millions of users
PREFERRED QUALIFICATIONS
- M.S, PhD in Computer Science or related field, or B.S. with equivalent industry experience
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 $181,100 and $318,400, 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.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
See all 302+ Machine Learning Research jobs
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Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Machine Learning Research
Frame your research credentials for U.S. employers
Australian PhD and honours degrees translate directly to U.S. specialty occupation standards, but your CV needs to show publication records, conference presentations, and model deployment experience in terms U.S. hiring committees recognise.
Target employers with active DOL LCA filings
Search the DOL's Office of Foreign Labor Certification disclosure data for companies that have filed LCAs for ML research titles. This confirms an employer already understands the E-3 process and has sponsored similar roles before.
Clarify the specialty occupation case before accepting an offer
Not every ML title passes the specialty occupation test. Roles framed as general data analysis or software engineering may not qualify. Confirm the job description explicitly requires a degree in computer science, statistics, or a directly related field before you sign.
Use Migrate Mate's E-3 filing service for LCA and consulate prep
Once you have an offer, use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork end-to-end. The LCA must be DOL-certified before your consulate appointment, and timing errors here are the most common cause of delays.
Find ML Research jobs on Migrate Mate
Migrate Mate filters job listings by E-3 sponsorship availability, so you're only seeing employers already set up to hire Australians. Search by ML Research job title to surface active roles without wading through listings that will reject your visa status.
Negotiate your start date around E-3 consulate wait times
Sydney, Melbourne, and Perth consulates have different appointment availability. Build at least four to six weeks between your signed offer and your proposed start date so your employer's LCA certification and your consulate slot align without forcing a rushed rescheduling.
Machine Learning Research jobs are hiring across the US. Find yours.
Find Machine Learning Research JobsMachine Learning Research E-3 Visa: Frequently Asked Questions
How do I find Machine Learning Research jobs that offer E-3 visa sponsorship?
Migrate Mate is built specifically for this search. It surfaces Machine Learning Research roles from employers already willing to sponsor Australian nationals on an E-3 visa, so you're not filtering out irrelevant listings manually. Because the E-3 has no lottery and relatively low employer cost compared to H-1B, more research-focused employers are open to it than you might expect.
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 Research role qualify as a specialty occupation for E-3 purposes?
Most ML Research positions do qualify, provided the job description requires a bachelor's degree or higher in a specific field such as computer science, machine learning, statistics, or applied mathematics. Roles that only list a degree as preferred rather than required, or that accept any field of study, can fail the specialty occupation test. Review the job description carefully before applying.
How does the E-3 visa compare to H-1B for Machine Learning Research roles?
The E-3 has a 10,500 annual cap that has never been reached, so there's no lottery and no random selection risk. H-1B requires entering an annual lottery where selection is not guaranteed. For ML Research roles, both visas require the employer to file an LCA with DOL and demonstrate prevailing wage compliance, but the E-3 timeline is significantly more predictable.
Can I switch ML Research employers while on an E-3 visa?
Yes, but each new employer must file a fresh LCA with the DOL and you'll need a new E-3 visa stamp before re-entering the U.S. if you travel internationally. If you remain inside the U.S. and your current E-3 status is still valid, you can begin work for a new employer while their LCA is pending, though specific timing rules apply.
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