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.
Find E-3 Visa Machine Learning JobsOverview
Showing 5 of 1,529+ Machine Learning jobs
See all 1,529+ Machine Learning Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Machine Learning roles.
Get Access To All JobsAt Apple, individual creativity converges around shared values that drive innovation. Our products emerge from collaborative teams strengthening each other's ideas, fueled by diverse perspectives and a belief we can transform lives. Our CVML team solves complex challenges at the intersection of perception, intelligence, and real-time processing. We seek an experienced engineer with demonstrated expertise in applying deep learning to non-vision signals such as audio, motion, and sensor data to shape next-generation products impacting millions daily.
Ready to make an impact?
Description
We seek a Machine Learning Engineer to join our team in designing and implementing advanced algorithms for multimodal sensor fusion. The ideal candidate brings proven expertise in translating cutting-edge research into production-ready solutions that delight users at scale.
In this role, you will collaborate closely with hardware, software and user-experience teams to develop world-class algorithms that advance the state of the art while creating deeply personal experiences for our users. You will drive the development of multimodal deep learning models optimized for edge deployment, leveraging sensor fusion techniques to enable intelligent, real-time perception in resource-constrained environments.
Your work will span the full spectrum from evaluating breakthrough research to solving complex real-world problems, architecting model efficiency strategies for on-device inference, and ensuring algorithms perform flawlessly in production at scale. You will be instrumental in pushing the boundaries of what is possible when sophisticated machine learning meets spatial computing, while establishing best practices and technical direction for your team.
Responsibilities
- Leading the development of cutting-edge multimodal fusion algorithms and taking ideas from concept to shipping
- Driving cross-functional collaboration to understand algorithmic constraints, dependencies, and technical trade-offs
- Partnering with engineers and designers to architect proof-of-concepts and prototype novel hardware for innovative applications
- Leading technical discussions and preparing presentations, papers, and talks to communicate your inventions and establish thought leadership
- Establishing coding standards, best practices, and technical strategies for your team
Minimum Qualifications
B.S and 3 years of experience in software engineering, deep learning, sensor fusion, or related fields.
Experience in deep learning frameworks such as PyTorch
Proficiency in Python development, using best coding practices
Preferred Qualifications
Ph.D. or M.S., with 3+ years of industry experience in deep learning or related fields.
Excellent math skills, including linear algebra, computational science and optimization
Creativity and curiosity for solving highly complex problems
Excellent communication and collaboration skills
Hands-on experience of working with sensors and hardware
An interest in incubating ideas and taking them to finish
Experience shipping algorithms or publishing in top tier AIML conferences
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 $150,400 and $225,300, 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
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
At Apple, individual creativity converges around shared values that drive innovation. Our products emerge from collaborative teams strengthening each other's ideas, fueled by diverse perspectives and a belief we can transform lives. Our CVML team solves complex challenges at the intersection of perception, intelligence, and real-time processing. We seek an experienced engineer with demonstrated expertise in applying deep learning to non-vision signals such as audio, motion, and sensor data to shape next-generation products impacting millions daily.
Ready to make an impact?
Description
We seek a Machine Learning Engineer to join our team in designing and implementing advanced algorithms for multimodal sensor fusion. The ideal candidate brings proven expertise in translating cutting-edge research into production-ready solutions that delight users at scale.
In this role, you will collaborate closely with hardware, software and user-experience teams to develop world-class algorithms that advance the state of the art while creating deeply personal experiences for our users. You will drive the development of multimodal deep learning models optimized for edge deployment, leveraging sensor fusion techniques to enable intelligent, real-time perception in resource-constrained environments.
Your work will span the full spectrum from evaluating breakthrough research to solving complex real-world problems, architecting model efficiency strategies for on-device inference, and ensuring algorithms perform flawlessly in production at scale. You will be instrumental in pushing the boundaries of what is possible when sophisticated machine learning meets spatial computing, while establishing best practices and technical direction for your team.
Responsibilities
- Leading the development of cutting-edge multimodal fusion algorithms and taking ideas from concept to shipping
- Driving cross-functional collaboration to understand algorithmic constraints, dependencies, and technical trade-offs
- Partnering with engineers and designers to architect proof-of-concepts and prototype novel hardware for innovative applications
- Leading technical discussions and preparing presentations, papers, and talks to communicate your inventions and establish thought leadership
- Establishing coding standards, best practices, and technical strategies for your team
Minimum Qualifications
B.S and 3 years of experience in software engineering, deep learning, sensor fusion, or related fields.
Experience in deep learning frameworks such as PyTorch
Proficiency in Python development, using best coding practices
Preferred Qualifications
Ph.D. or M.S., with 3+ years of industry experience in deep learning or related fields.
Excellent math skills, including linear algebra, computational science and optimization
Creativity and curiosity for solving highly complex problems
Excellent communication and collaboration skills
Hands-on experience of working with sensors and hardware
An interest in incubating ideas and taking them to finish
Experience shipping algorithms or publishing in top tier AIML conferences
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 $150,400 and $225,300, 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
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
See all 1,529+ E-3 Visa Machine Learning Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Machine Learning Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship in 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 visa 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.
E-3 Visa Machine Learning: 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.