E-3 Visa Machine Builder Jobs
Machine Builder roles in the U.S. qualify for E-3 visa sponsorship when the position requires a bachelor's degree in mechanical engineering, manufacturing engineering, or a directly related field. The E-3 has no lottery and no annual cap, making it a reliable path for Australian tradespeople and engineers who hold the right credentials.
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Get Access To All JobsINTRODUCTION
The Health AI team is at the forefront of machine learning and health science at Apple. We are a close-knit team of highly accomplished, deeply technical research scientists, software engineers, and machine learning engineers passionate about delivering innovative technologies that impact millions of users. We are looking for a senior engineer excited about solving real-world problems in the health domain that make a difference in our customers' lives.
DESCRIPTION
In this role, you will use your skills and experience in software engineering, machine learning, deep learning, and generative AI to design, implement, tune, and evaluate machine learning models and systems. You will solve ambitious problems involving unique data and high-impact products, including state-of-the-art generative AI technologies. The successful candidate should possess excellent interpersonal skills and the ability to work cross-functionally to rapidly apply engineering best practices and novel research techniques at the intersection of Health, ML, and consumer products.
MINIMUM QUALIFICATIONS
- 10+ years of overall software development experience.
- Experience leading a team and/or a proven track record of cross-functional collaboration to deliver customer-facing features with machine learning capabilities in production.
- BS/MS/Ph.D. in Computer Science, Computer Engineering, Machine Learning, or related fields (or equivalent qualification).
PREFERRED QUALIFICATIONS
- Ph.D. in Computer Science, Machine Learning, or a related field.
- Strong background in generative models, natural language processing (NLP), and large language models (LLMs).
- 5+ years of hands-on experience in state-of-the-art machine learning and deep learning applied to large-scale datasets and/or production applications.
- Proficiency developing and working with large-scale models using modern machine learning packages (e.g., TensorFlow, PyTorch, Jax, Huggingface).
- Proficiency in building and troubleshooting modern agentic systems (prompt tuning, routing, planning, multi-agent, RAG, tool use, memory management, etc.).
- Experience with healthcare data, products, and workflows.
- Ability to thrive in a fast-paced environment, deal with uncertainty, and adapt to new and changing requirements.
- Proven track record of contributing to diverse teams in a collaborative environment.
- A passion for building outstanding and innovative products. This position involves a wide variety of interdisciplinary skills.
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 $212,000 and $386,300, 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.
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.
INTRODUCTION
The Health AI team is at the forefront of machine learning and health science at Apple. We are a close-knit team of highly accomplished, deeply technical research scientists, software engineers, and machine learning engineers passionate about delivering innovative technologies that impact millions of users. We are looking for a senior engineer excited about solving real-world problems in the health domain that make a difference in our customers' lives.
DESCRIPTION
In this role, you will use your skills and experience in software engineering, machine learning, deep learning, and generative AI to design, implement, tune, and evaluate machine learning models and systems. You will solve ambitious problems involving unique data and high-impact products, including state-of-the-art generative AI technologies. The successful candidate should possess excellent interpersonal skills and the ability to work cross-functionally to rapidly apply engineering best practices and novel research techniques at the intersection of Health, ML, and consumer products.
MINIMUM QUALIFICATIONS
- 10+ years of overall software development experience.
- Experience leading a team and/or a proven track record of cross-functional collaboration to deliver customer-facing features with machine learning capabilities in production.
- BS/MS/Ph.D. in Computer Science, Computer Engineering, Machine Learning, or related fields (or equivalent qualification).
PREFERRED QUALIFICATIONS
- Ph.D. in Computer Science, Machine Learning, or a related field.
- Strong background in generative models, natural language processing (NLP), and large language models (LLMs).
- 5+ years of hands-on experience in state-of-the-art machine learning and deep learning applied to large-scale datasets and/or production applications.
- Proficiency developing and working with large-scale models using modern machine learning packages (e.g., TensorFlow, PyTorch, Jax, Huggingface).
- Proficiency in building and troubleshooting modern agentic systems (prompt tuning, routing, planning, multi-agent, RAG, tool use, memory management, etc.).
- Experience with healthcare data, products, and workflows.
- Ability to thrive in a fast-paced environment, deal with uncertainty, and adapt to new and changing requirements.
- Proven track record of contributing to diverse teams in a collaborative environment.
- A passion for building outstanding and innovative products. This position involves a wide variety of interdisciplinary skills.
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 $212,000 and $386,300, 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.
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.
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Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Machine Builder
Get your degree equivalency assessed early
If you hold an Australian three-year engineering degree or a trade qualification combined with work experience, get a formal credential evaluation before applying. U.S. employers need documentation confirming your qualifications meet the specialty occupation standard for the role.
Target manufacturers with active LCA filing history
Search the DOL's Labor Condition Application disclosure data to find manufacturers that have sponsored E-3 or H-1B workers in machine-building or mechanical engineering roles. Prior LCA filings signal a company already understands the sponsorship process.
Clarify the specialty occupation requirement upfront
Not every Machine Builder role qualifies for E-3 sponsorship. A position that accepts applicants without a degree in a specific field won't meet the specialty occupation standard. Confirm the job description explicitly requires a relevant engineering degree before pursuing sponsorship.
Use Migrate Mate's E-3 filing service after your offer
Once you have a signed offer letter, use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork. The LCA must be certified by DOL before your consulate appointment, and errors at this stage can delay your start date significantly.
Address the employer's E-Verify obligation directly
Some manufacturing employers are already enrolled in E-Verify; others aren't and may not know E-3 workers can be verified through the system. Confirming E-Verify compatibility with HR early prevents onboarding delays once your visa is approved.
Negotiate your start date around consulate appointment availability
Machine Builder roles often have fixed production start dates. Build buffer into your offer by checking current appointment wait times at Sydney, Melbourne, or Perth before committing to a start date with your employer.
Machine Builder jobs are hiring across the US. Find yours.
Find Machine Builder JobsMachine Builder E-3 Visa: Frequently Asked Questions
How do I find Machine Builder jobs with E-3 visa sponsorship?
Migrate Mate is the recommended way to search, as it filters jobs specifically for Australian professionals seeking E-3 sponsorship. Generic job boards don't surface sponsorship willingness, so you can spend weeks applying to roles where employers haven't considered the process. Searching with E-3 context means you're connecting with employers who are already open to sponsoring Australian candidates.
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 Builder role qualify as a specialty occupation for the E-3?
It depends on how the role is defined in the job description. If the position requires a bachelor's degree in mechanical engineering, manufacturing engineering, or a closely related field as a minimum entry requirement, it can qualify. Roles that accept applicants with any background or no degree, or that treat the degree as preferred rather than required, won't meet the specialty occupation standard that the E-3 demands.
How does the E-3 compare to H-1B for Machine Builder roles?
The E-3 is significantly more practical for Australian nationals pursuing Machine Builder positions. There's no lottery, no annual cap, and the visa can be renewed indefinitely in two-year increments. H-1B selection is lottery-based with roughly a one-in-four chance of selection, which makes it unreliable for time-sensitive manufacturing hires. Employers often prefer sponsoring Australians through the E-3 precisely because the timeline is predictable.
Can my employer file the E-3 LCA without prior sponsorship experience?
Yes. The LCA is filed by the employer through the DOL's FLAG system and doesn't require the employer to have sponsored workers before. The process is straightforward for a single hire, though employers new to it often underestimate the prevailing wage requirements and certification timelines. Having a filing service handle the documentation reduces the risk of errors that delay certification.
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