AI ML Engineer Jobs at Apple with Visa Sponsorship
AI ML Engineer jobs at Apple require engineers who can move from research to production at scale, working across hardware-software integration that's unique to the company. Apple has a strong track record of sponsoring international talent across multiple visa categories for this function.
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Description
Apple's ML Data Operations group is seeking a Data Operations Engineer to support internal data collection efforts powering our next generation of consumer machine learning features. In this role, you will work shoulder-to-shoulder with full-time Apple scientists and engineers, not just coordinating logistics, but developing a genuine technical understanding of the ML experiments you support. You will be responsible for the hands-on bring-up, execution, and quality oversight of internal data collection studies, operating in a highly collaborative and technically demanding cross-functional environment.
Responsibilities:
- Plan, execute, and track internal ML data collection studies in close collaboration with researchers, engineers, and scientists across the organization
- Develop a working understanding of the ML experiments being supported, including model objectives, data requirements, labeling, and evaluation criteria, to ensure datasets quality
- Bring up and maintain pre-release hardware and software platforms used for data collection, performing hands-on troubleshooting and triage to minimize study disruptions
- Create and maintain clear technical documentation for hardware/software platform setup, study protocols, and data handling procedures
- Manage day-to-day logistics of internal study sessions, including scheduling participants, configuring hardware and software setups, and maintaining smooth session flow
- Collaborate with algorithm, infrastructure, and hardware/software teams to gather and validate data collection requirements before and during study execution
- Track and communicate study progress, blockers, participant throughput, and dataset status to cross-functional partners and senior stakeholders
- Identify gaps in existing workflows and take initiative to define, document, and socialize process improvements
Minimum Qualifications
- Bachelor’s degree in HCI, Cognitive Science, Psychology, Engineering, Operations, or equivalent combination of education and relevant experience
- Experience supporting or executing human user studies, behavioral research, or data collection operations in an academic or industry setting
- Track record of partnering with ML engineers or researchers to define data requirements, quality standards, or collection specifications
Preferred Qualifications
- 10 years of experience in user research operations, data collection coordination, or a related technical operations role
- Hands-on familiarity with ML data pipelines, annotation tools, or dataset management practices
- Experience working directly with engineering and science teams, with comfort reading technical documentation, data schemas, or experiment specifications
- Familiarity with handling sensitive human data and adhering to strict privacy and consent protocols
- Highly organized self-starter who can manage multiple concurrent internal studies with minimal oversight
- Strong interpersonal and written communication skills, with the ability to collaborate fluidly across both technical and non-technical stakeholders
- Strong attention to detail with the ability to identify data anomalies and inconsistencies during live collection
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 $184,700 and $324,800, 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.
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Get Access To All JobsTips for Finding AI ML Engineer Jobs at Apple
Align your portfolio to Apple's on-device focus
Apple's AI ML roles emphasize privacy-preserving, on-device inference over cloud-heavy architectures. Showcase projects involving model compression, CoreML, or edge deployment to signal direct relevance before your application reaches a recruiter.
Target teams hiring under multiple visa categories
Apple sponsors H-1B, E-3, TN, and H-1B1 visas for AI ML Engineers. If you hold Australian citizenship, the E-3 sidesteps the H-1B lottery entirely and can be filed at any point in the year.
Prepare your degree equivalency documentation early
Apple's specialty occupation filings require a direct tie between your degree field and the role. If your degree is in mathematics or physics rather than computer science, gather course transcripts now to support USCIS's specialty occupation assessment.
Negotiate your start date around H-1B cap timelines
If you need a cap-subject H-1B, USCIS registration opens in March for an October 1 start. Confirm with your Apple recruiter early whether your role qualifies for a cap-exempt filing through a university partner, which removes the lottery dependency entirely.
Use Migrate Mate to identify open AI ML roles at Apple
Apple posts AI ML Engineer openings across multiple teams simultaneously and roles fill quickly. Use Migrate Mate to filter Apple's active visa-sponsoring positions so you're applying to roles where sponsorship is already confirmed rather than asking after the fact.
Understand Apple's PERM timing if you want a Green Card
Apple initiates PERM labor certification for EB-2 and EB-3 Green Card sponsorship, but the process typically begins after you've established yourself in a role. During offer negotiation, ask directly whether your position has an established track record of Green Card sponsorship.
Frequently Asked Questions
Does Apple sponsor H-1B visas for AI ML Engineers?
Yes, Apple sponsors H-1B visas for AI ML Engineers and has a consistent track record doing so. Apple also sponsors H-1B1 visas for Chilean and Singaporean nationals and E-3 visas for Australians, which can be advantageous since those categories bypass the H-1B lottery. If your role qualifies through a university partnership, a cap-exempt H-1B visa filing may also be an option worth discussing with Apple's immigration team.
How do I apply for AI ML Engineer jobs at Apple?
Apply directly through Apple's careers site and tailor your resume to emphasize on-device machine learning, model optimization, and hardware-software co-design since those skills align closely with Apple's product priorities. Migrate Mate lists Apple's active AI ML Engineer openings filtered by visa sponsorship, which lets you confirm sponsorship eligibility before investing time in an application. Apple's hiring process typically includes a recruiter screen, technical assessments, and multiple rounds with the hiring team.
Which visa types does Apple commonly use for AI ML Engineer roles?
Apple uses H-1B, E-3, H-1B1 visa, and TN visas for AI ML Engineers depending on your nationality. F-1 OPT and CPT are used for students and recent graduates earlier in the pipeline. For longer-term sponsorship, Apple also files EB-2 and EB-3 Green Card petitions through the PERM labor certification process with the DOL for eligible employees.
What qualifications does Apple expect for AI ML Engineer roles?
Apple's AI ML Engineer roles typically require a bachelor's degree or higher in computer science, electrical engineering, or a closely related field, with strong applied experience in machine learning frameworks such as PyTorch or JAX. For USCIS specialty occupation purposes, your degree field needs to directly relate to the role's duties. Apple's research-oriented positions often prefer a master's degree or PhD, particularly for roles involving neural architecture design or on-device model optimization.
How do I understand the visa process timeline when joining Apple?
Timeline depends heavily on which visa category applies to you. E-3 and TN visas can be obtained within weeks through consular processing. A cap-subject H-1B requires registration in March and an October 1 start at the earliest, so Apple would need to extend your OPT or bridge your status in the interim. USCIS premium processing, which Apple commonly uses, accelerates H-1B adjudication to 15 business days but does not change the cap start date.