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 visa cap pressure.
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Get Access To All JobsINTRODUCTION
Join us as we build world-class groundbreaking products for our customers! Apple's Data and ML Innovation team focuses on innovative technologies, methodologies, and research to enable fantastic user experiences and advance the frontier of machine learning.
Our team is looking to hire a tech lead with a strong track record in Applied Research who is passionate about ML and Human-Computer Interaction - mainly as applied to the responsibility, fairness, and safety of Generative AI. In this role, you will lead research methods focused on enabling ML technologies that power breakthrough user experiences while upholding Apple's values, privacy, and quality standards.
DESCRIPTION
This role will be highly multifunctional. You will collaborate closely with top machine learning researchers and engineers, software engineers, and design teams to develop and deliver groundbreaking solutions for Apple products. We believe that the most exciting problems in machine learning research arise at the intersection of emerging technologies and real-world use cases. This is also where the most critical breakthroughs come from. As a researcher, you will:
- Define and deliver responsible machine learning technologies
- Research and advance red teaming methods for generative AI models
- Research and develop mitigations and safeguards to ensure safe deployment of LLM's in Apple products
- Develop methods and frameworks to evaluate our products
- Advocate for scientific and engineering excellence: You will contribute to the architecture and high-level structure of Apple's AI-powered platform and features
- Work multi-functionally on a diverse set of challenging problems and collaborate with extraordinary software engineers, machine learning engineers, and researchers to impact the future of Apple products
- Work closely with product and partner teams to drive requirement definition, technical quality of deliverables, and execution.
MINIMUM QUALIFICATIONS
Strong research or product deployment record in areas related to responsible AI, with publications in top ML and HCI venues (e.g., ACL, CHI, CVPR, EMNLP, FAccT, ICML, Interspeech, NeurIPS, UIST, etc.)
Strong research fundamentals, machine learning principles, and development methodologies around LLMs, foundation models, and diffusion models
Deep experience in human-centered research - you understand design fundamentals in Human-Centered AI, Responsible AI, Human-Computer Interaction, and related fields
Work with highly-sensitive content with exposure to offensive and controversial content
PREFERRED QUALIFICATIONS
BS, MS or PhD in Computer Science, Machine Learning, or related fields or an equivalent qualification acquired through other avenues
Strong organizational and operational skills working with large, multi-functional, and diverse teams
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
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
INTRODUCTION
Join us as we build world-class groundbreaking products for our customers! Apple's Data and ML Innovation team focuses on innovative technologies, methodologies, and research to enable fantastic user experiences and advance the frontier of machine learning.
Our team is looking to hire a tech lead with a strong track record in Applied Research who is passionate about ML and Human-Computer Interaction - mainly as applied to the responsibility, fairness, and safety of Generative AI. In this role, you will lead research methods focused on enabling ML technologies that power breakthrough user experiences while upholding Apple's values, privacy, and quality standards.
DESCRIPTION
This role will be highly multifunctional. You will collaborate closely with top machine learning researchers and engineers, software engineers, and design teams to develop and deliver groundbreaking solutions for Apple products. We believe that the most exciting problems in machine learning research arise at the intersection of emerging technologies and real-world use cases. This is also where the most critical breakthroughs come from. As a researcher, you will:
- Define and deliver responsible machine learning technologies
- Research and advance red teaming methods for generative AI models
- Research and develop mitigations and safeguards to ensure safe deployment of LLM's in Apple products
- Develop methods and frameworks to evaluate our products
- Advocate for scientific and engineering excellence: You will contribute to the architecture and high-level structure of Apple's AI-powered platform and features
- Work multi-functionally on a diverse set of challenging problems and collaborate with extraordinary software engineers, machine learning engineers, and researchers to impact the future of Apple products
- Work closely with product and partner teams to drive requirement definition, technical quality of deliverables, and execution.
MINIMUM QUALIFICATIONS
Strong research or product deployment record in areas related to responsible AI, with publications in top ML and HCI venues (e.g., ACL, CHI, CVPR, EMNLP, FAccT, ICML, Interspeech, NeurIPS, UIST, etc.)
Strong research fundamentals, machine learning principles, and development methodologies around LLMs, foundation models, and diffusion models
Deep experience in human-centered research - you understand design fundamentals in Human-Centered AI, Responsible AI, Human-Computer Interaction, and related fields
Work with highly-sensitive content with exposure to offensive and controversial content
PREFERRED QUALIFICATIONS
BS, MS or PhD in Computer Science, Machine Learning, or related fields or an equivalent qualification acquired through other avenues
Strong organizational and operational skills working with large, multi-functional, and diverse teams
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
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
See all 277+ E-3 Visa Machine Learning Research Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Machine Learning Research Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship in 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 visa 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.
E-3 Visa Machine Learning Research: 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.