E-3 Visa Senior ML Engineer Jobs
Senior ML Engineer roles in the U.S. qualify as E-3 specialty occupations, requiring a bachelor's degree in computer science, machine learning, or a related field. Australian citizens can secure E-3 visa sponsorship without entering a lottery, making these roles far more accessible than comparable H-1B visa positions.
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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 1,530+ E-3 Visa Senior ML Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Senior ML Engineer Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Senior ML Engineer
Frame your ML credentials for U.S. specialty occupation
Your Australian three-year bachelor's degree is generally accepted as equivalent to a U.S. four-year degree, but document the equivalency explicitly. Include transcripts, course outlines, and any postgraduate work so your employer's LCA filing stands on firm ground.
Target employers with active DOL LCA filing history
Search the DOL's Office of Foreign Labor Certification disclosure data for companies that have filed LCAs for machine learning or software engineering roles. Prior LCA activity signals the hiring team already understands E-3 visa sponsorship requirements and won't stall on your offer.
Clarify the E-3 timeline before accepting an offer
The LCA certification typically takes seven business days, followed by a consulate appointment. Ask your prospective employer when they expect to file so you can align your start date, especially if you're transitioning from another visa status.
Use Migrate Mate's E-3 filing service for end-to-end filing
Once you have an offer, use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork. The service manages everything from DOL prevailing wage certification through to your consulate appointment, reducing the risk of documentation errors that can delay your start date.
Distinguish ML Engineer from data scientist in job documents
USCIS and DOL evaluate specialty occupation based on the role as described, not the employer's internal title. Ensure your offer letter, LCA, and support letter consistently describe ML engineering duties tied to a specific degree field, not a generalist data role.
Address E-3 dual intent limitations early in negotiations
The E-3 is a nonimmigrant visa that doesn't permit dual intent, so if you plan to pursue permanent residency later, raise that with your employer before filing. Sponsors who understand this dynamic can structure a longer-term immigration plan alongside your initial E-3.
E-3 Visa Senior ML Engineer: Frequently Asked Questions
How do I find Senior ML Engineer jobs that offer E-3 visa sponsorship?
Migrate Mate is built specifically for this search. It surfaces Senior ML Engineer roles where employers have demonstrated E-3 or equivalent sponsorship willingness, so you're not cold-applying to companies unfamiliar with the visa. Filtering by role and visa type gets you to relevant opportunities without manually cross-referencing DOL disclosure databases.
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 Senior ML Engineer role qualify as an E-3 specialty occupation?
Yes. Senior ML Engineer positions require at minimum a bachelor's degree in computer science, electrical engineering, mathematics, or a closely related field, which satisfies the E-3 specialty occupation standard. The key is that the role's duties must theoretically and practically require that specific degree. Generalist engineering titles that accept any bachelor's degree can create LCA complications, so your offer letter should describe ML-specific responsibilities.
How does the E-3 visa compare to H-1B for Senior ML Engineers?
The E-3 has a 10,500 annual cap that has never been fully used, so there's no lottery and no random selection. H-1B requires registration in an annual lottery with far lower odds of selection. For Australian ML engineers, this means you can receive and accept an offer and begin the filing process immediately, without waiting for a lottery result in April or deferring a start date by up to a year.
Can I transfer my E-3 if I change ML engineering roles or employers?
Yes, but each new employer must file a fresh LCA with the DOL and you'll need to attend a new consulate appointment or, if you're already in the U.S., your employer can file a change of status petition. There's no portability mechanism like AC21 that exists for H-1B holders, so plan for a processing gap of several weeks between roles.