AI Product Engineer Jobs at Apple with Visa Sponsorship
AI Product Engineer jobs at Apple require engineers who can move between research, prototyping, and production at scale. For AI Product Engineers, Apple works with a range of visa categories to bring in qualified talent, making it a realistic target for international candidates with the right technical background.
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Do you believe that generative models can fundamentally change how people interact with devices? Are you excited by the possibility of connecting people to unprecedented levels of creativity? Come join the team that turned cutting edge Generative AI research into compelling user experiences through Apple Intelligence. We are part of the Intelligent System Experiences team at Apple and work on the core modeling technology behind Genmoji, Image Playground and Photos Generative Edits. From web-scale datasets to distributed training of foundation models, application specific adapters to on-device optimizations, you will have the unique opportunity to advance and ship state-of-the-art technology that impacts Apple users around the world!
Description
We are seeking a machine learning research engineer with experience building high-quality datasets for foundation model training. The ideal candidate has solid ML fundamentals, experience with applied research, and hands-on knowledge of constructing large scale and targeted datasets involving image or video to improve the quality of diffusion or auto-regressive foundation models. You will stay at the forefront of the latest AI research to rapidly adopt impactful developments while simultaneously pioneering proprietary and experimental ideas. You will design data annotation, enrichment, curation and synthetic data generation pipelines using classic or genAI tools to improve model quality along specific dimensions aligned with Apple’s unique product offerings.
Minimum Qualifications
M.S. or PhD in Computer Science or a related field such as Electrical Engineering, Robotics, Statistics, Applied Mathematics, or equivalent experience
3+ years of experience improving modern image generation or image understanding models through data ablation experiments
Knowledge of ML frameworks such as PyTorch / JAX. Experience leveraging large-scale data frameworks such as Hadoop / Ray.
Experience working in an academic or industrial research environment
Excellent communication skills, bias-for-action and ability to drive clarity in ambiguous circumstances
Preferred Qualifications
Hands-on experience improving the quality of diffusion image generation models through training data improvements
Track record of strong industrial research output, shipped complex projects or published at top-tier venues
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 $277,600, 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 Product Engineer Jobs at Apple
Align your portfolio to Apple's on-device AI
Apple prioritizes AI that runs locally on hardware, not in the cloud. Before applying, reframe your portfolio around edge inference, model compression, or CoreML-compatible work to signal direct relevance to their product engineering priorities.
Target roles posted under Apple Intelligence initiatives
Apple clusters AI Product Engineer openings around specific platform teams. Filter for roles mentioning Siri, Vision Pro, or on-device inference in job descriptions, as these teams have the clearest sponsorship history for AI-focused engineering functions.
Confirm your visa type before the offer stage
Apple sponsors multiple visa categories, including H-1B, E-3, and TN. Knowing which category fits your nationality and background before you receive an offer prevents delays when Apple's immigration team initiates the DOL Labor Condition Application filing.
Prepare your specialty occupation documentation early
USCIS scrutinizes AI Product Engineer petitions where the role blends product management and engineering. Gather degree transcripts, a detailed job duties letter, and evidence your role requires a specific technical degree field before your employer files the I-129.
Use Migrate Mate to identify open AI Product Engineer roles at Apple
Browse current AI Product Engineer openings at Apple filtered by visa sponsorship type using Migrate Mate, so you're applying to positions with an active sponsorship track record rather than roles where sponsorship availability is unclear.
Account for H-1B cap timing if you're on OPT
If you're in F-1 OPT status, Apple must file your H-1B petition by early April for an October 1 start. Work backward from that deadline to ensure your offer letter, LCA certification, and supporting documents are ready before USCIS opens the registration window in March.
Frequently Asked Questions
Does Apple sponsor H-1B visas for AI Product Engineers?
Yes, Apple sponsors H-1B visas for AI Product Engineers. Apple engages with the annual H-1B cap lottery for new applicants and also files cap-exempt petitions for candidates transitioning from certain research or educational institutions. Given the role's technical requirements, Apple's immigration team typically supports the full petition process, including the DOL Labor Condition Application, once you have a formal offer.
How do I apply for AI Product Engineer jobs at Apple?
Apply directly through Apple's careers site and tailor your resume to highlight AI product development experience relevant to Apple's hardware and software ecosystem. Roles on teams like Apple Intelligence, Core ML, or Siri tend to move quickly, so applying as soon as a position opens matters. You can also use Migrate Mate to browse current AI Product Engineer openings at Apple filtered by visa sponsorship type.
Which visa types does Apple commonly use for AI Product Engineers?
Apple sponsors H-1B, H-1B1 visa, E-3 visa, TN visa, and F-1 OPT and CPT for AI Product Engineers, depending on your nationality and current status. Australian citizens are well-positioned for the E-3 visa, which has no lottery and can be processed faster. Canadian and Mexican nationals often use TN visa status. For long-term permanent residence, Apple also supports EB-2 and EB-3 Green Card sponsorship after a qualifying tenure.
What qualifications does Apple expect for AI Product Engineer roles?
Apple's AI Product Engineer roles typically require a bachelor's or master's degree in computer science, electrical engineering, or a closely related field. Hands-on experience with machine learning frameworks, hardware-software integration, or on-device AI is weighted heavily. USCIS requires the role to qualify as a specialty occupation, so your degree field needs to directly align with the job duties Apple lists in your offer letter.
How do I think about the sponsorship timeline for an AI Product Engineer role at Apple?
Timeline depends heavily on your visa category. E-3 and TN petitions can be processed at a consulate in a matter of weeks. H-1B cap cases require registration in March with an October 1 start date, meaning a gap of six or more months between offer and start is common. Apple's in-house immigration team coordinates with outside counsel, but you should track USCIS processing times directly on the USCIS website to set accurate expectations.