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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Get Access To All JobsINTRODUCTION
As a Senior Software Engineer in Apple AI and Data Governance at Apple, you will be instrumental in designing and implementing robust solutions that ensure the ethical, secure, and compliant use of our data assets and AI systems. In this role, you will leverage your technical expertise to build and maintain frameworks that uphold the integrity, privacy, and security of Apple’s AI initiatives while navigating complex regulatory environments. Your work will bridge technical innovation and compliance, ensuring that our AI technologies are responsibly managed throughout their lifecycle.
Are you passionate about building robust, ethical AI and data governance solutions from the ground up? Do you have the vision to tackle the complex challenges of AI data collection, usage, and regulatory compliance? If so, we want you on our team! In this role, you will lead a multidisciplinary team of software engineers to architect Apple's next-generation AI and data governance platforms. You will drive the development of scalable systems that manage the entire machine learning lifecycle - ensuring our AI initiatives set the benchmark for privacy, compliance, and security and are grounded in strong data governance principles. Join us and play a pivotal role in shaping the future of ethical, responsible AI at Apple.
ROLE AND RESPONSIBILITIES
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Design, build, and deploy scalable AI and Data governance and lineage systems that track datasets, models, and policies across Apple's machine learning training and post-training lifecycle.
-
Architect and implement authentication and access control frameworks for machine learning training data, model artifacts, and inference endpoints using OAuth 2.0, attribute-based access control (ABAC), and federated identity.
-
Develop backend services and distributed applications in Java, Scala, Kotlin, Go, or Python that deeply embed privacy, security, and regulatory requirements such as GDPR, CCPA, and DMA directly into AI and data governance workflows.
-
Build batch and streaming pipelines using distributed engines such as Spark, Hadoop, or Flink to transform raw data into governed, machine learning-ready training and inference inputs.
-
Design REST APIs, SDKs, and web-based tools using frameworks such as Spring, React, or Node.js that enable internal teams to manage governance approvals and compliance reviews at scale.
-
Architect large-scale, fault-tolerant serving systems on AWS, GCP, or Kubernetes that safeguard data integrity, availability, and auditability across Apple's AI governance platforms.
-
Collaborate with security, legal, privacy, and data engineering teams to identify and mitigate risk in complex distributed environments, ensuring Apple's AI initiatives set the benchmark for responsible, ethical AI at scale.
MINIMUM QUALIFICATIONS
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8+ years experience in developing Data & AI governance software or integrating systems with governance systems.
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Experience working with large data collection and processing systems.
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Demonstrated proficiency in data management and building scalable systems that underpin AI applications.
-
Strong understanding of privacy and regulatory requirements (e.g., GDPR, CCPA, DMA) and how they apply to Data Governance and AI systems.
-
Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
PREFERRED QUALIFICATIONS
-
Proven ability to work effectively with diverse teams, including security, legal, privacy, compliance, and data engineering, to drive Data and AI governance initiatives.
-
Experience in designing and implementing robust data governance frameworks, policies, and standards that ensure the ethical and secure deployment of AI technologies.
-
A track record of identifying and mitigating risks in complex distributed data environments, with a focus on maintaining compliance in AI-driven projects.
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 $175,000 and $308,500, 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.
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 Senior Software Engineer in Apple AI and Data Governance at Apple, you will be instrumental in designing and implementing robust solutions that ensure the ethical, secure, and compliant use of our data assets and AI systems. In this role, you will leverage your technical expertise to build and maintain frameworks that uphold the integrity, privacy, and security of Apple’s AI initiatives while navigating complex regulatory environments. Your work will bridge technical innovation and compliance, ensuring that our AI technologies are responsibly managed throughout their lifecycle.
Are you passionate about building robust, ethical AI and data governance solutions from the ground up? Do you have the vision to tackle the complex challenges of AI data collection, usage, and regulatory compliance? If so, we want you on our team! In this role, you will lead a multidisciplinary team of software engineers to architect Apple's next-generation AI and data governance platforms. You will drive the development of scalable systems that manage the entire machine learning lifecycle - ensuring our AI initiatives set the benchmark for privacy, compliance, and security and are grounded in strong data governance principles. Join us and play a pivotal role in shaping the future of ethical, responsible AI at Apple.
ROLE AND RESPONSIBILITIES
-
Design, build, and deploy scalable AI and Data governance and lineage systems that track datasets, models, and policies across Apple's machine learning training and post-training lifecycle.
-
Architect and implement authentication and access control frameworks for machine learning training data, model artifacts, and inference endpoints using OAuth 2.0, attribute-based access control (ABAC), and federated identity.
-
Develop backend services and distributed applications in Java, Scala, Kotlin, Go, or Python that deeply embed privacy, security, and regulatory requirements such as GDPR, CCPA, and DMA directly into AI and data governance workflows.
-
Build batch and streaming pipelines using distributed engines such as Spark, Hadoop, or Flink to transform raw data into governed, machine learning-ready training and inference inputs.
-
Design REST APIs, SDKs, and web-based tools using frameworks such as Spring, React, or Node.js that enable internal teams to manage governance approvals and compliance reviews at scale.
-
Architect large-scale, fault-tolerant serving systems on AWS, GCP, or Kubernetes that safeguard data integrity, availability, and auditability across Apple's AI governance platforms.
-
Collaborate with security, legal, privacy, and data engineering teams to identify and mitigate risk in complex distributed environments, ensuring Apple's AI initiatives set the benchmark for responsible, ethical AI at scale.
MINIMUM QUALIFICATIONS
-
8+ years experience in developing Data & AI governance software or integrating systems with governance systems.
-
Experience working with large data collection and processing systems.
-
Demonstrated proficiency in data management and building scalable systems that underpin AI applications.
-
Strong understanding of privacy and regulatory requirements (e.g., GDPR, CCPA, DMA) and how they apply to Data Governance and AI systems.
-
Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
PREFERRED QUALIFICATIONS
-
Proven ability to work effectively with diverse teams, including security, legal, privacy, compliance, and data engineering, to drive Data and AI governance initiatives.
-
Experience in designing and implementing robust data governance frameworks, policies, and standards that ensure the ethical and secure deployment of AI technologies.
-
A track record of identifying and mitigating risks in complex distributed data environments, with a focus on maintaining compliance in AI-driven projects.
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 $175,000 and $308,500, 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.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
See all AI ML Engineer Jobs at Apple
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI ML Engineer Jobs at Apple.
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.