AI Engineer Jobs in California
AI Engineer jobs in California are among the most active in the country, concentrated in technology, healthcare AI, autonomous systems, and enterprise software across experience levels from entry-level through principal and staff engineer. San Francisco, San Jose, and Los Angeles lead hiring volume, with major employers like Google, Meta, and Salesforce running significant AI engineering teams in the state. The most in-demand specialties include large language model development, machine learning infrastructure, and computer vision. Find a role that fits below and apply directly.
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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.
See All 1,038+ AI Engineer Jobs in California
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Find AI Engineer JobsAI Engineer Jobs by City in California
Where California roles are concentrated, by current openings.
AI Engineer Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring
- Google56

- TikTok44

- Tesla40

- Meta26

- ServiceNow22

Top Industries Hiring
- Technology & Software91
- Electronics & Hardware16
- Banking & Financial Services10
- Consulting & Professional Services8
- Science & Research7
What California Employers Look For
The qualifications that appear most often in AI engineer jobs across California.
- Bachelor's or master's degree in computer science, machine learning, or a related field
- Proficiency in Python and experience with ML frameworks such as PyTorch or TensorFlow
- Hands-on experience designing, training, and deploying machine learning models in production
- Familiarity with cloud platforms including AWS, Google Cloud, or Microsoft Azure
- Experience with MLOps practices, model monitoring, and CI/CD pipelines for ML systems
- Strong understanding of data engineering fundamentals, including feature engineering and data pipelines
AI Engineer Jobs in California: Frequently Asked Questions
How do you become a ai engineer in California?
There is no state-issued license required to work as an ai engineer in California. Most hiring managers expect at minimum a bachelor's degree in computer science, electrical engineering, or a closely related field, though many California employers in competitive markets weight demonstrated project work and published model contributions heavily. Building a portfolio of end-to-end ML projects and contributing to open-source repositories are the most effective ways to stand out when applying in California.
Which companies hire ai engineers in California?
Employers hiring ai engineers in California right now include Google, TikTok, and Tesla, based on current listings on Migrate Mate as of November 2026. California's concentration of technology headquarters and research labs means the state consistently produces some of the highest volumes of ai engineer openings nationwide.
Which California cities have the most ai engineer jobs?
San Francisco, San Jose, and Santa Clara have the most ai engineer openings in California. The San Francisco Bay Area dominates because of its dense concentration of technology headquarters and AI-focused startups, while Los Angeles is driven by growth in media tech, autonomous vehicles, and enterprise software companies that have expanded engineering operations there.
Are there remote ai engineer jobs in California?
Yes, and more than most fields. About 66% of ai engineer openings tied to California are remote or hybrid as of November 2026, reflecting how much of the work involves code, model training, and data pipelines that translate well to distributed teams. Research-heavy and infrastructure roles tend to offer the most location flexibility.
How can I get hired as a ai engineer in California with little or no experience?
The most realistic entry path is through an associate or junior machine learning engineer role, often posted by large California employers like Google, Apple, and Nvidia alongside their senior openings. Many of these companies run new-grad programs that accept candidates with strong project portfolios in place of work history. Adjacent roles in data analytics, data engineering, or software engineering at California technology firms are a proven lateral route, and completing a recognized deep learning or ML engineering certificate gives applicants a measurable credential to reference in applications.
Where can I find and apply to ai engineer jobs in California?
You can find and apply to ai engineer jobs in California on Migrate Mate, which lists current California openings. Find roles that fit your background and apply directly from the listings on this page.
See All 1,038+ AI Engineer Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find AI Engineer Jobs