E-3 Visa Learning Specialist Jobs
Learning Specialist roles qualify for E-3 visa sponsorship when tied to instructional design, curriculum development, or corporate training functions that require a relevant bachelor's degree. The E-3 has no lottery and no annual cap, making it a reliable path for Australian professionals moving into U.S. learning and development teams.
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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 1,522+ E-3 Visa Learning Specialist Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Learning Specialist Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Learning Specialist
Translate your Australian qualifications clearly
A three-year Australian bachelor's degree in education, instructional design, or a related field satisfies E-3 visa degree requirements. Get a credential evaluation from a NACES-member evaluator before interviews so employers see immediate equivalency confirmation.
Target employers with dedicated L&D functions
Focus on mid-to-large organizations with standalone learning and development teams, not generalist HR departments. Companies with formal LMS platforms, onboarding programs, or compliance training infrastructures are structurally more prepared to file an LCA and support E-3 sponsorship.
Frame your role as a specialty occupation early
Hiring managers unfamiliar with the E-3 sometimes hesitate when a job description says 'preferred' rather than 'required' for a degree. Confirm the role requires a specific bachelor's degree field before your offer stage, since this is the DOL specialty occupation standard.
Request LCA filing before your start date
The DOL must certify your Labor Condition Application before you can attend a consulate appointment. Ask your employer to begin LCA filing through FLAG immediately after your offer is signed, since delays here push back your entire timeline by weeks.
Use Migrate Mate's E-3 filing service for end-to-end support
Migrate Mate's E-3 filing service handles your LCA submission, visa paperwork, and consulate preparation from offer to approval. This removes the coordination burden from your employer, which matters when your hiring manager has never processed an E-3 before.
Prepare for dual intent questions at the consulate
E-3 is a nonimmigrant visa, so consular officers will probe your intent to return to Australia. Prepare a clear narrative about your role scope, contract term, and ties to Australia, particularly if your Learning Specialist position involves long-term program ownership.
E-3 Visa Learning Specialist: Frequently Asked Questions
How do I find Learning Specialist jobs that offer E-3 visa sponsorship?
Migrate Mate lets you search Learning Specialist roles filtered by E-3 visa sponsorship history, so you're not wasting applications on employers who have never filed an LCA. Most general job boards don't surface sponsorship data at all, which makes it hard to identify which learning and development teams are actually set up to hire Australians.
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 Learning Specialist role qualify as a specialty occupation for the E-3?
Yes, provided the position genuinely requires a bachelor's degree in a specific field such as instructional design, education, organizational psychology, or a related discipline. Roles described as requiring 'any degree' or listing a degree as preferred rather than required can fail the specialty occupation test, so review the job description carefully before accepting an offer.
How does the E-3 compare to the H-1B for Learning Specialist roles?
The E-3 is available only to Australian citizens but has no annual cap and no lottery, so you can file at any time of year and receive a decision within weeks rather than waiting for an annual lottery draw. The H-1B visa has an 85,000-slot cap with a randomized selection process, meaning your application may not even be reviewed. For Australians, the E-3 is structurally more predictable for roles like Learning Specialist.
What happens to my E-3 status if my Learning Specialist role changes significantly?
A material change in your job duties, location, or employer requires a new LCA and potentially a new visa. If your role shifts from instructional design to general HR functions, the specialty occupation basis for your E-3 may weaken. Notify your employer's HR team before accepting a role change and confirm whether the new position still meets DOL specialty occupation criteria.