Machine Learning Jobs at Apple with Visa Sponsorship
Machine Learning jobs at Apple involve building the models powering Siri, on-device inference, computer vision, and neural engine optimization across its entire product ecosystem. Apple has a consistent track record of sponsoring work visas for ML engineers and researchers, covering multiple visa categories from OPT through permanent residence.
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Get Access To All JobsINTRODUCTION
Join us as we build world-class groundbreaking products for our customers! Apple's Data and ML Innovation team focuses on innovative technologies, methodologies, and research to enable fantastic user experiences and advance the frontier of machine learning.
Our team is looking to hire a tech lead with a strong track record in Applied Research who is passionate about ML and Human-Computer Interaction - mainly as applied to the responsibility, fairness, and safety of Generative AI. In this role, you will lead research methods focused on enabling ML technologies that power breakthrough user experiences while upholding Apple's values, privacy, and quality standards.
DESCRIPTION
This role will be highly multifunctional. You will collaborate closely with top machine learning researchers and engineers, software engineers, and design teams to develop and deliver groundbreaking solutions for Apple products. We believe that the most exciting problems in machine learning research arise at the intersection of emerging technologies and real-world use cases. This is also where the most critical breakthroughs come from. As a researcher, you will:
- Define and deliver responsible machine learning technologies
- Research and advance red teaming methods for generative AI models
- Research and develop mitigations and safeguards to ensure safe deployment of LLM's in Apple products
- Develop methods and frameworks to evaluate our products
- Advocate for scientific and engineering excellence: You will contribute to the architecture and high-level structure of Apple's AI-powered platform and features
- Work multi-functionally on a diverse set of challenging problems and collaborate with extraordinary software engineers, machine learning engineers, and researchers to impact the future of Apple products
- Work closely with product and partner teams to drive requirement definition, technical quality of deliverables, and execution.
MINIMUM QUALIFICATIONS
- Strong research or product deployment record in areas related to responsible AI, with publications in top ML and HCI venues (e.g., ACL, CHI, CVPR, EMNLP, FAccT, ICML, Interspeech, NeurIPS, UIST, etc.)
- Strong research fundamentals, machine learning principles, and development methodologies around LLMs, foundation models, and diffusion models
- Deep experience in human-centered research - you understand design fundamentals in Human-Centered AI, Responsible AI, Human-Computer Interaction, and related fields
- Work with highly-sensitive content with exposure to offensive and controversial content
PREFERRED QUALIFICATIONS
- BS, MS or PhD in Computer Science, Machine Learning, or related fields or an equivalent qualification acquired through other avenues
- Strong organizational and operational skills working with large, multi-functional, and diverse teams
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 $181,100 and $318,400, 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.
INTRODUCTION
Join us as we build world-class groundbreaking products for our customers! Apple's Data and ML Innovation team focuses on innovative technologies, methodologies, and research to enable fantastic user experiences and advance the frontier of machine learning.
Our team is looking to hire a tech lead with a strong track record in Applied Research who is passionate about ML and Human-Computer Interaction - mainly as applied to the responsibility, fairness, and safety of Generative AI. In this role, you will lead research methods focused on enabling ML technologies that power breakthrough user experiences while upholding Apple's values, privacy, and quality standards.
DESCRIPTION
This role will be highly multifunctional. You will collaborate closely with top machine learning researchers and engineers, software engineers, and design teams to develop and deliver groundbreaking solutions for Apple products. We believe that the most exciting problems in machine learning research arise at the intersection of emerging technologies and real-world use cases. This is also where the most critical breakthroughs come from. As a researcher, you will:
- Define and deliver responsible machine learning technologies
- Research and advance red teaming methods for generative AI models
- Research and develop mitigations and safeguards to ensure safe deployment of LLM's in Apple products
- Develop methods and frameworks to evaluate our products
- Advocate for scientific and engineering excellence: You will contribute to the architecture and high-level structure of Apple's AI-powered platform and features
- Work multi-functionally on a diverse set of challenging problems and collaborate with extraordinary software engineers, machine learning engineers, and researchers to impact the future of Apple products
- Work closely with product and partner teams to drive requirement definition, technical quality of deliverables, and execution.
MINIMUM QUALIFICATIONS
- Strong research or product deployment record in areas related to responsible AI, with publications in top ML and HCI venues (e.g., ACL, CHI, CVPR, EMNLP, FAccT, ICML, Interspeech, NeurIPS, UIST, etc.)
- Strong research fundamentals, machine learning principles, and development methodologies around LLMs, foundation models, and diffusion models
- Deep experience in human-centered research - you understand design fundamentals in Human-Centered AI, Responsible AI, Human-Computer Interaction, and related fields
- Work with highly-sensitive content with exposure to offensive and controversial content
PREFERRED QUALIFICATIONS
- BS, MS or PhD in Computer Science, Machine Learning, or related fields or an equivalent qualification acquired through other avenues
- Strong organizational and operational skills working with large, multi-functional, and diverse teams
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 $181,100 and $318,400, 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 275+ Machine Learning Jobs at Apple
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Machine Learning Jobs at Apple.
Get Access To All JobsTips for Finding Machine Learning Jobs at Apple
Tailor your ML portfolio to Apple's stack
Apple prioritizes on-device inference, Core ML, and privacy-preserving machine learning. Showcase projects involving model compression, neural architecture search, or federated learning rather than cloud-scale training work more relevant to other employers.
Target teams publishing Apple research
Apple's ML Research blog and publications on arXiv signal which teams are actively hiring. Applying to roles whose published work aligns with your specialization puts you in front of hiring managers with an existing research agenda that matches your background.
Clarify your OPT timeline before applying
STEM OPT extensions give F-1 graduates up to three years of work authorization. If your OPT expires mid-cycle, flag your timeline early in recruiter conversations so Apple's immigration team can sequence an H-1B cap filing or E-3 application accordingly.
Understand which visa fits your citizenship
Australian citizens can pursue the E-3 visa, which has no lottery and allows year-round filing, while Canadians may qualify for TN status. Knowing which category applies before your offer stage prevents delays when Apple's legal team initiates the petition.
Prepare for a multi-round technical process
Apple's ML interviews typically include coding screens, ML system design rounds, and a domain-specific research discussion. Having your GitHub, publications, and documented project outcomes ready before the recruiter screen shortens the credentialing review Apple's immigration team conducts post-offer.
Use Migrate Mate to find open ML roles at Apple
Apple posts Machine Learning roles across teams simultaneously, and openings move quickly. Search and filter active Apple ML positions by visa type and team focus on Migrate Mate to identify roles aligned with your specialization before they close.
Frequently Asked Questions
Does Apple sponsor H-1B visas for Machine Learning roles?
Yes, Apple sponsors H-1B visas for Machine Learning engineers and researchers. Apple participates in the annual H-1B cap lottery each April for candidates without existing H-1B status, and can also file for cap-exempt transfers if you already hold an approved H-1B petition from a previous employer. Apple's immigration team manages the full filing process after an offer is accepted.
How do I apply for Machine Learning jobs at Apple?
Applications go through Apple's careers portal at jobs.apple.com, where ML roles are listed by team, such as Siri, Core ML, or Health AI. You can also browse and filter open Apple Machine Learning positions by visa type on Migrate Mate, which surfaces roles actively open to sponsored candidates. Tailoring your resume to Apple's on-device ML focus improves your chances of passing initial screening.
Which visa types does Apple commonly use for Machine Learning roles?
Apple sponsors H-1B and H-1B1 visas for ML roles, along with E-3 visas for Australian citizens and TN visa status for Canadian and Mexican nationals. F-1 OPT and CPT are accepted for students and recent graduates, and Apple files EB-2 and EB-3 immigrant visa petitions, including PERM labor certifications, for employees pursuing permanent residence.
What qualifications does Apple expect for sponsored Machine Learning positions?
Most Apple ML roles require a Bachelor's degree at minimum in Computer Science, Electrical Engineering, or a related field, with many research and senior roles preferring a Master's or PhD. Hands-on experience with PyTorch or JAX, familiarity with model optimization for edge deployment, and a track record of shipping ML features in production environments are consistently emphasized across Apple job descriptions for this function.
How do I time my application around the H-1B cap and OPT expiration?
USCIS opens H-1B registrations in March each year, with cap-subject petitions taking effect October 1 if selected. If your OPT expires before October 1, Apple can file a cap-gap extension to bridge the gap as long as your H-1B petition is pending. Starting your job search no later than December or January gives enough runway to receive an offer, complete Apple's internal review, and register before the March window closes.