AI Engineer Jobs in Cupertino, CA
AI Engineer jobs in Cupertino are in high demand, concentrated in the Main Street corridor, Vallco Business Park, and the North De Anza Boulevard tech campus cluster across consumer electronics, enterprise software, and AI infrastructure. Employers hiring right now include Amazon Web Services, Apple, and Praxis. Scan the live roles below and apply to whichever ones fit.
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The Health Personalization team builds AI-driven health experiences that provide our users with understandable, actionable information about their health and wellbeing. We harness large language models and the latest ML advances to build products that are useful, personal, privacy-preserving, and safe - turning research and incubation into features people rely on every day. As part of the larger Sensor Software & Prototyping team, we work across hardware platforms and data modalities including wearables and natural language input. We are committed to building deeply personal features that understand, anticipate, and adapt to users' behaviors and uphold Apple's deep commitment to privacy as a fundamental human right. Our team values expertise, innovation, and inclusivity. Come join us!
Description
In this role, you will prototype, develop, evaluate, and ship Generative AI experiences for real-world health and wellbeing applications. You'll apply strong ML fundamentals, build practical evaluation methods, and ground your work in real on-device user interactions. Your work will directly shape customer-facing health products across the full ML lifecycle.
A strong candidate makes progress through ambiguity - building, learning from real data, and iterating toward the right answer rather than waiting for the perfect plan. They take ownership of outcomes end-to-end, prioritize well, and learn fast.
Responsibilities
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Develop and improve generative AI systems for health and wellbeing applications across the full feature development lifecycle - prototyping on-device experiences to explore design directions, and shipping production-quality features.
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Independently design, run, and analyze ML experiments to deliver measurable quality improvements.
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Design and implement evaluation frameworks - including automated assessment tools, LLM-based autograders, and benchmarks - to measure and improve model quality.
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Analyze algorithm and feature behavior, identify failure modes, and drive actionable improvements through experimentation and failure analysis - verifying that fixes hold with data.
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Work cross-functionally with many teams - including clinical experts, designers, and HW and SW teams, and more - to bring features into production with real-world applicability and impact.
Minimum Qualifications
BS and a minimum of 3 years relevant industry experience
Ability to leverage AI-assisted tooling to write clean, performant code (e.g. Python), while maintaining full ownership of code quality and software development best practices (e.g. Git).
Technical expertise and hands-on experience building and evaluating machine learning solutions for user-facing applications.
Comfort building functional prototypes or proof-of-concept demos to test ideas quickly.
Preferred Qualifications
MS or PhD in computer science, machine learning, health informatics, biomedical engineering, or a related quantitative field - or equivalent industry experience.
Strong communication skills and ability to work cross-functionally with technical and non-technical stakeholders.
Technical expertise in generative AI domains, such as large language model architectures, knowledge retrieval, and natural language understanding.
Deep expertise with LLM-based evaluation systems and evidence-based approaches to test development and quality measurement.
Customer-focused mindset with experience or strong interest in building consumer digital health and wellness products.
Experience building and deploying performant on-device or full-stack systems, including rapid prototyping of user-facing experiences (e.g. Swift, SwiftUI), is a plus.
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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Find AI Engineer JobsAI Engineer Job Market in Cupertino
Who's Hiring
- Amazon Web Services554

- Apple346

- Praxis69

- AfterQuery Experts69

Top Industries Hiring
- Electronics & Hardware
AI Engineer Jobs in Cupertino: Frequently Asked Questions
How do I get an ai engineer job in Cupertino?
The strongest path into Cupertino's ai engineer market is targeting the consumer electronics and enterprise software companies that anchor the city's tech corridor along De Anza Boulevard and Vallco. Employers here prioritize hands-on experience with large language models, ML pipelines, and on-device AI frameworks over credentials alone. Contributing to open-source AI projects and building a portfolio that shows production-grade work gives candidates a clear edge in this market.
Which companies hire ai engineers in Cupertino?
Cupertino ai engineer roles are posted by Amazon Web Services, Apple, and Praxis and others right now, based on current listings on Migrate Mate as of November 2026. Hiring in Cupertino skews toward large consumer technology firms and their contract engineering partners, alongside a growing cluster of AI-focused startups that have set up near the city's established tech campuses.
Are there remote ai engineer jobs in Cupertino?
Yes, though it depends on the role: model research and data pipeline work tends to be remote-compatible, while on-device AI integration and hardware-facing roles are typically on-site. About 25% of ai engineer openings tied to Cupertino are remote or hybrid as of November 2026, reflecting the mixed nature of the local market. Systems-level and silicon-adjacent AI work in Cupertino almost always requires in-person presence.
How can I get an ai engineer job in Cupertino with little or no experience?
The most realistic entry path in Cupertino is through contract or associate roles at the hardware and software vendors that support the city's large consumer tech employers. Entry-level positions on AI quality, data annotation, or ML tooling teams are the most common footholds locally. Demonstrating familiarity with CoreML, TensorFlow, or PyTorch in a portfolio project, even a small one, meaningfully increases your chances with Cupertino's screening teams.
Which industries hire the most ai engineers in Cupertino?
Cupertino ai engineer roles concentrate in Electronics & Hardware, based on current listings on Migrate Mate as of November 2026. Cupertino's identity as a consumer electronics hub drives outsized demand for AI engineers who can work at the intersection of hardware and intelligent software, pulling in talent from a broader set of sectors than most comparably sized cities.
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