Machine Learning Engineer Jobs at Apple with Visa Sponsorship
Machine Learning Engineer jobs at Apple sit at the intersection of research and product, spanning on-device intelligence, neural engine optimization, and large-scale ML infrastructure. Apple has a consistent track record of sponsoring international engineers across multiple visa categories, making it one of the more accessible paths for qualified ML professionals.
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Get Access To All JobsINTRODUCTION
Visual Intelligence is a new feature that enables users to learn about the objects and places around them. We are a new and growing team building the future of user experiences at the intersection of computer vision, machine learning and Apple intelligence. This is an exciting time to join and have impact at the core of Apple’s future roadmap for Apple Intelligence. We are especially looking for people who love to collaborate across disciplines and teams, and are motivated and inspired by the potential to help shape the future of system experiences across the entire Apple ecosystem.
DESCRIPTION
We are looking for a software engineer to work on building the next generation of features for Visual Intelligence, including CV/ML, sensor fusion, simulation/evaluation pipelines, APIs, and core backend software components. Our work is primarily in Swift, so prior experience is highly preferred. If you are an outstanding software engineer with no Swift experience, we’d still love to hear from you.
MINIMUM QUALIFICATIONS
- 0-10 years of professional experience writing software
- Experience working on any of the following: computer vision, real-time perception, digital signal processing, camera/sensor pipelines, sensor fusion, ISPs, robotics, or related technologies at the intersection of sensor hardware, software, and machine learning
PREFERRED QUALIFICATIONS
- Experience using Swift, Xcode and Apple’s developer APIs a plus
- A learning mentality and a willingness to try things that may fail. You should be able to learn from both success and failures.
- Ability to communicate effectively with both technical and non-technical teams
- Ability to thrive in a fast-paced, highly collaborative team environment
- A background in Computer Science, Computer Engineering, Electrical Engineering, or related plus experience shipping software is ideal. Experience working with computer vision, machine learning, digital signal processing, robotics, or related are a plus. If that’s not your background, but you can show a strong track record of software development, curiosity, making, and learning, we’d love to talk to you.
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 $171,600 and $302,200, 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
Visual Intelligence is a new feature that enables users to learn about the objects and places around them. We are a new and growing team building the future of user experiences at the intersection of computer vision, machine learning and Apple intelligence. This is an exciting time to join and have impact at the core of Apple’s future roadmap for Apple Intelligence. We are especially looking for people who love to collaborate across disciplines and teams, and are motivated and inspired by the potential to help shape the future of system experiences across the entire Apple ecosystem.
DESCRIPTION
We are looking for a software engineer to work on building the next generation of features for Visual Intelligence, including CV/ML, sensor fusion, simulation/evaluation pipelines, APIs, and core backend software components. Our work is primarily in Swift, so prior experience is highly preferred. If you are an outstanding software engineer with no Swift experience, we’d still love to hear from you.
MINIMUM QUALIFICATIONS
- 0-10 years of professional experience writing software
- Experience working on any of the following: computer vision, real-time perception, digital signal processing, camera/sensor pipelines, sensor fusion, ISPs, robotics, or related technologies at the intersection of sensor hardware, software, and machine learning
PREFERRED QUALIFICATIONS
- Experience using Swift, Xcode and Apple’s developer APIs a plus
- A learning mentality and a willingness to try things that may fail. You should be able to learn from both success and failures.
- Ability to communicate effectively with both technical and non-technical teams
- Ability to thrive in a fast-paced, highly collaborative team environment
- A background in Computer Science, Computer Engineering, Electrical Engineering, or related plus experience shipping software is ideal. Experience working with computer vision, machine learning, digital signal processing, robotics, or related are a plus. If that’s not your background, but you can show a strong track record of software development, curiosity, making, and learning, we’d love to talk to you.
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 $171,600 and $302,200, 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 219+ Machine Learning Engineer Jobs at Apple
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Machine Learning Engineer Jobs at Apple.
Get Access To All JobsTips for Finding Machine Learning Engineer Jobs at Apple
Align your portfolio to Apple's ML stack
Apple prioritizes on-device inference, Core ML, and privacy-preserving machine learning over cloud-first architectures. Tailor your GitHub projects and technical writeups to reflect these priorities before applying, since recruiters screen for this alignment early.
Target teams with active LCA filings
Apple's ML hiring spans Siri, Vision Pro, Health, and Silicon teams. Search DOL's FLAG portal for Apple LCA filings filtered to machine learning job titles to identify which teams are actively sponsoring and what prevailing wage tiers they're filing under.
Distinguish your visa type during the offer stage
Apple sponsors H-1B, E-3, TN, and H-1B1 visa depending on your nationality. If you're Australian or Canadian, flag your eligibility for E-3 or TN during the offer call, since these skip the H-1B lottery and can shorten your start date by months.
Prepare for Apple's multi-round ML system design interviews
Apple's ML engineer loop typically includes a coding screen, an ML system design round, and a domain-specific deep dive. Practicing end-to-end model deployment scenarios, not just algorithm questions, reflects the production focus Apple's teams expect.
Time your application around Apple's hiring cycles
Apple tends to ramp ML hiring in Q1 and Q3. If you're on F-1 OPT, verify your OPT end date against USCIS's 60-day grace period and cap-gap provisions so you know the latest you can accept an offer without a gap in work authorization.
Use Migrate Mate to filter Apple ML roles by visa type
Apple posts Machine Learning Engineer roles across multiple portals, but not all listings surface sponsorship details. Use Migrate Mate to filter Apple's open ML positions by the visa categories you're eligible for, so you're applying to roles where your status is already a fit.
Frequently Asked Questions
Does Apple sponsor H-1B visas for Machine Learning Engineers?
Yes, Apple sponsors H-1B visas for Machine Learning Engineers. The process requires Apple to file a Labor Condition Application with the DOL and then a petition with USCIS. If you're subject to the H-1B cap, your start date is tied to the lottery, which runs annually in March. Apple also sponsors H-1B transfers, so if you already hold H-1B status with another employer, you can begin working at Apple once USCIS receives the transfer petition.
How do I apply for Machine Learning Engineer jobs at Apple?
Apply directly through Apple's careers portal and tailor your resume to the specific team, since roles across Siri, Health AI, and Silicon have different technical expectations. Referrals from current Apple engineers carry weight in their screening process. You can also browse open Machine Learning Engineer positions at Apple filtered by visa type on Migrate Mate, which helps you identify roles where sponsorship is already part of the hiring plan.
Which visa types does Apple commonly use for Machine Learning Engineers?
Apple sponsors H-1B, H-1B1 visa, E-3 visa, TN visa, EB-2, EB-3, F-1 OPT, and F-1 CPT for Machine Learning Engineer roles. E-3 visa is available to Australian citizens, TN visa to Canadian and Mexican nationals, and H-1B1 visa to Chilean and Singaporean nationals. These non-lottery visa categories are often processed faster than H-1B cap-subject petitions, which can affect your negotiated start date.
What qualifications does Apple expect for Machine Learning Engineer roles?
Apple's ML engineer roles generally require a graduate degree in computer science, electrical engineering, or a closely related field, with strong foundations in statistics, linear algebra, and model optimization. Hands-on experience with production ML systems matters more than research publications alone. For specialty occupation visa purposes, your degree field needs to align directly with the ML subfield the role targets, whether that's computer vision, NLP, or on-device inference.
How long does the visa sponsorship process take for Apple ML roles?
Timeline depends on your visa category. E-3 and TN can move quickly, often within a few weeks of offer acceptance if your documentation is in order. H-1B cap-subject cases are tied to the annual lottery, meaning a March registration and an October 1 start date at the earliest. USCIS premium processing is available for H-1B petitions and reduces the adjudication window to 15 business days, which Apple's immigration team often uses to accelerate timelines.