Machine Learning Manager Jobs at Apple with Visa Sponsorship
Machine Learning Manager roles at Apple sit at the intersection of research leadership and product scale, overseeing teams that ship ML capabilities across hardware, software, and services. Apple sponsors multiple visa categories for this function, making it a realistic target for international candidates with strong technical leadership backgrounds.
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Get Access To All JobsINTRODUCTION
As a ML Engineering Manager for Foundation Model Runtime, you will manage and lead top flight ML engineers to deliver high performance inference solutions for generative AI features that power tentpole Apple features. You will work across organizations to connect product teams, model teams, FM services, cloud infrastructure, and your own team to deliver carefully engineered, high performance solutions aligned with critical milestones. You will also guide the team to architect for maximum leverage in the ML space, helping the team adapt the latest innovations in generative AI inference.
DESCRIPTION
Your role as Engineering Manager will provide support and leadership to incredible ML inference talent to deliver state of the art inference features and performance across Apple. This role offers the opportunity to turn cutting edge inference techniques into carefully crafted engineering solutions that will power both experimentation and production serving of generative AI models across multiple modalities. You will be gauging impact and aligning engineering resources to tackle new hardware and environments, meeting latency, throughput, and quality targets. You will develop technical talent and leadership in your team, and grow your team to meet new inference challenges. You will work cross functionally to set grounded expectations and provide key data that influence AI product development decisions and hardware investments.
Responsibilities
- Balance both technical execution and the long-term vision for the team
- Collaborate effectively with partner and product teams to define goals, set expectations, and shape roadmaps.
- Provide both technical and career mentorship, empowering your team to succeed.
- Strong interpersonal skills are essential for communicating technical complexities clearly to engineering partners, product management teams, and executives across Apple.
MINIMUM QUALIFICATIONS
- Bachelor’s degree or equivalent experience in AI, ML, Mathematics, Computer Science, or a related field.
- 5+ years of experience applying and leading teams that productionize ML models or apply ML inference in areas of search, knowledge, or other AI adjacent areas.
- 3+ years of experience managing ML teams and leading ML development.
- Experience in management of AI accelerator hardware and software infrastructure, ML performance analysis and tuning, transformer architecture and modeling, and algorithms.
- Experience in cross organization collaboration and alignment of goals and priorities with cross functional stakeholders.
- Strong foundational understanding of mathematics behind modern machine learning, including linear algebra and statistics.
- Proven ability to translate requirements from design to implementation, both independently and within larger teams.
- Demonstrated ability to actively manage team performance and take ownership of driving outcomes.
PREFERRED QUALIFICATIONS
- Masters degree in AI, Machine Learning, Computer Science, Mathematics.
- Strong understanding of AI model architecture, including transformers and vision models.
- Experience in model profiling and performance, evaluation, and roofline analysis.
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 $188,200 and $325,500, 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.
INTRODUCTION
As a ML Engineering Manager for Foundation Model Runtime, you will manage and lead top flight ML engineers to deliver high performance inference solutions for generative AI features that power tentpole Apple features. You will work across organizations to connect product teams, model teams, FM services, cloud infrastructure, and your own team to deliver carefully engineered, high performance solutions aligned with critical milestones. You will also guide the team to architect for maximum leverage in the ML space, helping the team adapt the latest innovations in generative AI inference.
DESCRIPTION
Your role as Engineering Manager will provide support and leadership to incredible ML inference talent to deliver state of the art inference features and performance across Apple. This role offers the opportunity to turn cutting edge inference techniques into carefully crafted engineering solutions that will power both experimentation and production serving of generative AI models across multiple modalities. You will be gauging impact and aligning engineering resources to tackle new hardware and environments, meeting latency, throughput, and quality targets. You will develop technical talent and leadership in your team, and grow your team to meet new inference challenges. You will work cross functionally to set grounded expectations and provide key data that influence AI product development decisions and hardware investments.
Responsibilities
- Balance both technical execution and the long-term vision for the team
- Collaborate effectively with partner and product teams to define goals, set expectations, and shape roadmaps.
- Provide both technical and career mentorship, empowering your team to succeed.
- Strong interpersonal skills are essential for communicating technical complexities clearly to engineering partners, product management teams, and executives across Apple.
MINIMUM QUALIFICATIONS
- Bachelor’s degree or equivalent experience in AI, ML, Mathematics, Computer Science, or a related field.
- 5+ years of experience applying and leading teams that productionize ML models or apply ML inference in areas of search, knowledge, or other AI adjacent areas.
- 3+ years of experience managing ML teams and leading ML development.
- Experience in management of AI accelerator hardware and software infrastructure, ML performance analysis and tuning, transformer architecture and modeling, and algorithms.
- Experience in cross organization collaboration and alignment of goals and priorities with cross functional stakeholders.
- Strong foundational understanding of mathematics behind modern machine learning, including linear algebra and statistics.
- Proven ability to translate requirements from design to implementation, both independently and within larger teams.
- Demonstrated ability to actively manage team performance and take ownership of driving outcomes.
PREFERRED QUALIFICATIONS
- Masters degree in AI, Machine Learning, Computer Science, Mathematics.
- Strong understanding of AI model architecture, including transformers and vision models.
- Experience in model profiling and performance, evaluation, and roofline analysis.
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 $188,200 and $325,500, 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.
See all 37+ Machine Learning Manager at Apple jobs
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Get Access To All JobsTips for Finding Machine Learning Manager Jobs at Apple Jobs
Align your portfolio with Apple's ML stack
Apple's ML work spans on-device inference, neural engine optimization, and privacy-preserving models. Frame your experience around deployment constraints and hardware-software co-design, not just model accuracy metrics, so your background maps directly to what hiring managers evaluate.
Target roles requiring cross-functional team leadership
Apple structures ML Manager roles around owning both research direction and engineering execution across product groups. Highlight experience managing mixed teams of researchers and engineers shipping to production, which differentiates you from pure research or pure engineering management candidates.
Prepare your credentials for specialty occupation documentation
For H-1B sponsorship, USCIS requires evidence that the role is a specialty occupation. Gather transcripts, any advanced degree certifications, and documentation of progressively specialized ML work early, before the offer stage, so Apple's immigration counsel can move quickly.
Use Migrate Mate to filter verified Apple ML sponsorship openings
Apple posts Machine Learning Manager roles across multiple business units and career sites. Use Migrate Mate to filter active Apple roles that align with your target visa type, so you're applying to positions where sponsorship is already confirmed rather than assumed.
Ask explicitly about PERM timing if you want a Green Card path
For EB-2 or EB-3 sponsorship, Apple's immigration team initiates the DOL PERM labor certification process. Ask during offer negotiation whether Apple starts PERM within the first year of employment, since the earlier you file, the earlier your priority date is established.
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Find Machine Learning Manager at Apple JobsFrequently Asked Questions
Does Apple sponsor H-1B visas for Machine Learning Managers?
Yes, Apple sponsors H-1B visas for Machine Learning Manager roles. The H-1B is the most common work visa path for this position given the degree requirements and specialized nature of the work. Apple also sponsors the H-1B1 for Singaporean and Chilean nationals, and the E-3 for Australian citizens, offering alternatives that bypass the H-1B lottery entirely.
How do I apply for Machine Learning Manager jobs at Apple?
Apply directly through Apple's careers site or use Migrate Mate to browse verified Machine Learning Manager openings at Apple filtered by your visa type. Apple's hiring process for this level typically includes a recruiter screen, technical assessments on ML system design and leadership scenarios, and several rounds of cross-functional interviews before an offer is extended.
Which visa types does Apple commonly use for Machine Learning Manager roles?
Apple sponsors H-1B, H-1B1, E-3, and TN visas for nonimmigrant work authorization in this role. For permanent residency, Apple files EB-2 and EB-3 petitions through the DOL PERM labor certification process. F-1 OPT and CPT are also supported, giving candidates already in the U.S. on student status a bridge while H-1B sponsorship is initiated.
What qualifications does Apple expect for a Machine Learning Manager?
Apple typically expects a graduate degree in machine learning, computer science, or a related field, combined with demonstrated experience managing ML teams that have shipped products at scale. Hands-on technical depth is weighted heavily alongside leadership credentials. Experience with on-device ML, privacy-preserving techniques, or Apple's Neural Engine is a distinguishing factor at the manager level.
How do I handle the timing between an Apple offer and my visa filing?
Once Apple extends an offer, their immigration counsel files the Labor Condition Application with the DOL before submitting the H-1B petition to USCIS. The full process from offer to approved status can take three to six months without premium processing. If you're transferring from another employer, Apple can file an H-1B transfer petition and you can start on a receipt notice under portability rules.
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