Learning Program Manager Jobs at Apple with Visa Sponsorship
Learning Program Manager jobs at Apple sit at the intersection of instructional design, organizational development, and technology. Apple has a consistent track record of sponsoring work visas across this function, making it a realistic target for international candidates with L&D experience in hardware or software-driven environments.
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Get Access To All JobsDo 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.
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.
See all Learning Program Manager Jobs at Apple
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Learning Program Manager Jobs at Apple.
Get Access To All JobsTips for Finding Learning Program Manager Jobs at Apple
Align your portfolio to Apple's ecosystem
Apple's L&D teams build programs around product launches, engineering onboarding, and retail training. Tailor your portfolio to show experience designing scalable learning programs in hardware, software, or consumer technology contexts rather than generic corporate training.
Verify your visa type before applying
Apple sponsors H-1B, E-3, TN, and F-1 OPT among others. If you're Australian, the E-3 bypasses the H-1B lottery entirely. Confirm which category fits your nationality and degree before submitting applications so your expectations match Apple's sponsorship process.
Target roles posted through Apple's internal teams
Apple's Learning Program Manager openings are distributed across hardware engineering, retail, and corporate functions. Search for roles by business unit, not just job title, since program scope and visa sponsorship decisions often sit with the hiring team rather than central HR.
Understand the LCA filing timeline before your offer
Apple must file a Labor Condition Application with DOL before petitioning USCIS for your H-1B or E-3. This step takes 7 business days at minimum. Factor this into your start date negotiation so your onboarding doesn't outpace the filing.
Use Migrate Mate to filter Apple's open roles
Apple posts Learning Program Manager roles across multiple teams and locations simultaneously. Use Migrate Mate to filter those openings by visa type so you're only spending time on positions that match your sponsorship eligibility from the start.
Prepare documentation for specialty occupation evidence
USCIS requires that Learning Program Manager roles constitute a specialty occupation tied to a specific degree field. Gather transcripts, instructional design credentials, and job offer language that explicitly connects the role requirements to your degree discipline before your employer files.
Frequently Asked Questions
Does Apple sponsor H-1B visas for Learning Program Managers?
Yes, Apple sponsors H-1B visas for Learning Program Manager roles. The process requires Apple to first file a Labor Condition Application with the DOL, then submit an H-1B petition to USCIS. Because H-1B is subject to an annual lottery, timing your application cycle correctly and securing an offer before the March registration window matters significantly.
Which visa types does Apple commonly use for Learning Program Manager roles?
Apple sponsors H-1B and H-1B1 visa for most international hires, plus E-3 visa for Australian citizens and TN visa for Canadian and Mexican nationals. F-1 OPT and CPT are available for recent graduates in their authorized work period. EB-2 and EB-3 Green Card sponsorship is also available for longer-term employees in this function.
What qualifications does Apple expect for Learning Program Manager positions?
Apple typically looks for a bachelor's degree in instructional design, education, organizational development, or a related field. Practical experience designing and measuring learning programs in a technology or product-driven environment carries significant weight. Familiarity with Apple's product ecosystem or experience supporting engineering or retail teams strengthens your candidacy.
How do I apply for Learning Program Manager jobs at Apple?
Apply directly through Apple's careers site, or browse current openings filtered by visa type on Migrate Mate to identify roles that match your sponsorship eligibility before you apply. Tailor your resume to the specific business unit posting the role, since Learning Program Manager scope varies widely between retail, hardware engineering, and corporate functions at Apple.
How do I plan my timeline around Apple's visa sponsorship process?
If you're on F-1 OPT, your start date and work authorization expiry need to align with Apple's onboarding schedule and any USCIS filing windows. For H-1B cap-subject petitions, registration opens in March with an October 1 start date. E-3 and TN filings move faster and aren't lottery-dependent, making them more flexible for mid-year offers.