AI ML Engineering Jobs at Apple with Visa Sponsorship
Apple builds some of its most ambitious AI and machine learning work into its hardware and software ecosystem, and the teams behind that work span roles from research scientists to production ML engineers. Apple has a consistent track record of sponsoring work visas for qualified AI ML Engineering candidates across multiple visa categories.
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Get Access To All JobsImagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Apple delivers great features and privacy to our users. This unique role combines Privacy Engineering with hands-on software engineering work with the Privacy Preserving Machine Learning team. The Privacy Preserving Machine Learning team works with teams all across the company to provide tools and support for state of the art privacy-preserving measurement and machine learning. We are looking for an outstanding candidate with a strong interest in privacy in practice to take on this unique role.
Description
We are seeking an experienced engineer and privacy advocate to build privacy-preserving technologies for measurement and machine learning and guide policy and product decisions to uphold Apple’s industry leading privacy bar.
Successful candidates will need to have strong interpersonal skills and the ability to influence and build consensus and work across multiple teams and organizations on a regular basis.
Responsibilities
Experience a unique role with rotations on two teams to experience hands-on software engineering and privacy engineering. At the end of the rotation period, you will have the opportunity to continue in either of the teams full-time.
Work with the Privacy Preserving Measurement and ML team to design, develop and deploy end to end measurement systems with high utility that meet Apple’s industry-leading privacy bar.
Work with the Privacy Engineering team to communicate system design tradeoffs, privacy risks and potential mitigations to senior leadership to drive decisions.
Build cross-team consensus and collaboration.
Minimum Qualifications
Passion for customer privacy.
Strong collaboration, communication, interpersonal, and organizational skills.
Strong software engineering skills and ability to solve complex problems independently.
Experience with differential privacy or private federated learning.
BS in Computer Science, EE or equivalent experience.
Preferred Qualifications
Real-world experience implementing privacy/trust/security measures which have shipped in a consumer product and/or service.
Participation in public standards forums or academic publications in privacy and machine learning strongly preferred.
Ability to analyze systems’ architectures for privacy impact.
Ability to learn and research new technologies and use-cases rapidly, assess privacy exposures, and suggest mitigations.
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 $126,800 and $220,900, 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.
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.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Apple delivers great features and privacy to our users. This unique role combines Privacy Engineering with hands-on software engineering work with the Privacy Preserving Machine Learning team. The Privacy Preserving Machine Learning team works with teams all across the company to provide tools and support for state of the art privacy-preserving measurement and machine learning. We are looking for an outstanding candidate with a strong interest in privacy in practice to take on this unique role.
Description
We are seeking an experienced engineer and privacy advocate to build privacy-preserving technologies for measurement and machine learning and guide policy and product decisions to uphold Apple’s industry leading privacy bar.
Successful candidates will need to have strong interpersonal skills and the ability to influence and build consensus and work across multiple teams and organizations on a regular basis.
Responsibilities
Experience a unique role with rotations on two teams to experience hands-on software engineering and privacy engineering. At the end of the rotation period, you will have the opportunity to continue in either of the teams full-time.
Work with the Privacy Preserving Measurement and ML team to design, develop and deploy end to end measurement systems with high utility that meet Apple’s industry-leading privacy bar.
Work with the Privacy Engineering team to communicate system design tradeoffs, privacy risks and potential mitigations to senior leadership to drive decisions.
Build cross-team consensus and collaboration.
Minimum Qualifications
Passion for customer privacy.
Strong collaboration, communication, interpersonal, and organizational skills.
Strong software engineering skills and ability to solve complex problems independently.
Experience with differential privacy or private federated learning.
BS in Computer Science, EE or equivalent experience.
Preferred Qualifications
Real-world experience implementing privacy/trust/security measures which have shipped in a consumer product and/or service.
Participation in public standards forums or academic publications in privacy and machine learning strongly preferred.
Ability to analyze systems’ architectures for privacy impact.
Ability to learn and research new technologies and use-cases rapidly, assess privacy exposures, and suggest mitigations.
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 $126,800 and $220,900, 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.
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.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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Get Access To All JobsTips for Finding AI ML Engineering Jobs at Apple Jobs
Align your portfolio to Apple's on-device focus
Apple prioritizes ML work that runs efficiently on its own silicon, including Neural Engine optimization and Core ML integration. Demonstrating experience with model compression, quantization, or edge inference directly signals relevance to their engineering priorities.
Target teams building Apple Intelligence features
Apple's AI ML Engineering openings cluster around Siri, Photos, Health, and the Apple Intelligence platform. Reviewing recently shipped product features helps you identify which internal teams are actively hiring and tailor your application accordingly.
Prepare for Apple's multi-round technical interviews
Apple's ML interview loop typically includes coding, ML system design, and a domain-specific research discussion. Having published work, open-source contributions, or documented production ML systems strengthens your case at every round.
Use Migrate Mate to find active AI ML Engineering roles at Apple
Apple posts AI ML Engineering roles across multiple teams simultaneously, and openings move quickly. Use Migrate Mate to browse current positions filtered specifically for visa-sponsored roles so you're applying to openings where sponsorship is already confirmed.
AI ML Engineering at Apple jobs are hiring across the US. Find yours.
Find AI ML Engineering at Apple JobsFrequently Asked Questions
Does Apple sponsor H-1B visas for AI ML Engineers?
Yes, Apple sponsors H-1B visas for AI ML Engineering roles. Because the H-1B is subject to an annual lottery, Apple typically submits registrations in March for the following fiscal year. If you're already on H-1B with another employer, Apple can file an H-1B transfer, which lets you start without waiting for a new cap slot.
Which visa types does Apple commonly sponsor for AI ML Engineering positions?
Apple sponsors several visa categories for AI ML Engineering roles depending on your nationality and current status. Australian citizens can use the E-3, Canadian and Mexican nationals can qualify under TN, and F-1 graduates can begin on OPT or STEM OPT extension. For longer-term sponsorship, Apple also supports EB-2 and EB-3 Green Card pathways for qualifying engineers.
What qualifications does Apple expect for AI ML Engineering roles?
Apple's AI ML Engineering roles typically require a bachelor's degree in computer science, electrical engineering, or a related field, with a master's or PhD preferred for research-adjacent positions. Hands-on experience with frameworks like PyTorch or JAX, familiarity with Apple's Core ML ecosystem, and demonstrated work on production ML systems at scale are commonly expected across levels.
How do I apply for AI ML Engineering jobs at Apple?
You can apply directly through Apple's careers site or find visa-sponsored openings through Migrate Mate, which filters specifically for roles where sponsorship is confirmed. Apple's process for ML roles typically involves a recruiter screen, a technical phone interview, and a multi-round onsite or virtual loop covering coding, ML system design, and a domain discussion. Response timelines after applying range from two to six weeks depending on the team.
How do I time my Apple job search around H-1B cap deadlines?
The H-1B registration window opens in early March each year, with USCIS selecting registrations by late March. To be included in that cycle, you need an offer and a registered employer before the window closes. Targeting Apple roles between October and February gives you the best chance of securing an offer in time for your employer to register you before the deadline.
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