AI ML Engineering Jobs in California
AI ML Engineering jobs in California are among the most active in the country, with demand concentrated in tech, semiconductors, healthcare AI, autonomous systems, and enterprise software at every level from junior to principal engineer. San Francisco, San Jose, and Los Angeles are the largest hiring metros, where companies like Google, Apple, and Meta maintain major AI and machine learning research and product teams. The most in-demand specialties are large language model development, computer vision, and MLOps infrastructure. Find a role that fits below and apply directly.
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INTRODUCTION
Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together.
You will join a collaborative AI Platform team building a payer-focused agentic platform that orchestrates data, models, and workflows to support complex healthcare operations. In this role, you will provide critical onshore leadership for AI platform execution and forward deployment across Payment Integrity and Optum Real, ensuring secure, scalable delivery of reusable AI services. The team designs and delivers intelligent, agent-driven applications that review and reason over clinical and administrative data, evaluate AI outputs, and automate decision workflows, while ensuring our production systems are reliable, scalable, and continuously improving.
By applying AI to agentic workflows, deployment automation, and production observability in customer environments, you will help accelerate delivery, reduce risk, enable platform reuse, and drive repeatable revenue. We have the data and resources to make an impact on a massive scale; when our solutions are deployed, they process millions of clinical data elements and benefit millions of patients. We are a globally distributed and diverse organization with a shared passion to improve patient outcomes, enhance healthcare operations, and streamline payments. We pay close attention to detail to ensure we deliver high quality, the first time.
You'll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.
PRIMARY RESPONSIBILITIES:
- Provide strategic and technical leadership for AI platform execution and forward deployment across Payment Integrity and Optum Real, ensuring secure, reliable, and scalable delivery of reusable AI services
- Lead and inspire a high-performing team of AI/ML engineers and senior staff, fostering a culture of trust, ownership, product quality, and consistent execution excellence while setting clear AI development goals within team plans
- Champion AI as a core driver of team success, strategically designing, developing, and deploying AI-powered solutions to address complex clinical and administrative healthcare challenges and deliver measurable business value
- Strategically design and deliver intelligent, agentic workflows and agent-driven applications that review and reason over clinical and administrative data in customer environments
- Drive engineering and operational excellence across the full development lifecycle by applying AI to deployment automation, robust automated testing, continuous integration, and production observability in customer environments
- Leverage and integrate enterprise-approved AI tools to streamline engineering workflows, automate routine developer tasks, and drive continuous operational improvement
- Champion the ethical use of AI across all projects, proactively embedding transparency, fairness, and accountability throughout the entire AI lifecycle of reusable services
- Partner cross-functionally with product managers, customer integration teams, senior stakeholders, and enterprise leaders to represent the engineering vision, accelerate platform reuse, and drive repeatable revenue
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
REQUIRED QUALIFICATIONS:
- Bachelor's degree in Computer Science, Software Engineering, Information Technology, Mathematics, Statistics, or a related quantitative field, or 4+ additional years of equivalent software engineering experience in lieu of a degree
- 12+ years of experience in Software Engineering, Data Science, or Analytics, with 3+ years dedicated to AI/ML engineering or related fields
- 3+ years of experience directly managing, coaching, and developing engineering teams of 5+ people, including senior engineers
- Demonstrated experience leading and managing AI/ML projects from initial ideation and development through to customer-facing production delivery, deployment, and evaluation
- Technical experience with major cloud platforms (AWS, Azure, or GCP) and containerization/orchestration tools (Docker, Kubernetes)
- Experience with DevSecOps, automated CI/CD practices (e.g., Git, Jenkins), and proficiency in Python or other programming languages for data analysis and AI/ML development
PREFERRED QUALIFICATIONS:
- Master's or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field
- 2+ years of hands-on experience with Generative AI technologies, including large language models (LLMs like OpenAI, Claude, Gemini), LangChain, AI Agents, Retrieval-Augmented Generation (RAG), Vector Databases, Prompt Engineering, and model fine-tuning
- Experience applying AI to agentic workflows, deployment automation, and production observability (e.g., model monitoring, logging, and performance tracking)
- Experience in establishing and enforcing AI/ML engineering best practices, design standards, and ethical guidelines
- Experience in Payment Integrity, clinical operations, or healthcare claim systems
- Experience managing or working with a mixed team, both onshore and offshore
All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $148,900 to $255,300 annually based on full-time employment. We comply with all minimum wage laws as applicable.
APPLICATION DEADLINE: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
See All 1,635+ AI ML Engineering Jobs in California
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Find AI ML Engineering JobsAI ML Engineering Jobs by City in California
Where California roles are concentrated, by current openings.
AI ML Engineering Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring
- Apple199

- TikTok82

- Amazon61

- Adobe54

- Capital One51

Top Industries Hiring
- Technology & Software718
- Electronics & Hardware283
- Artificial Intelligence113
- Banking & Financial Services113
- Automotive86
What California Employers Look For
The qualifications that appear most often in AI ML engineering jobs across California.
- Bachelor's or master's degree in computer science, statistics, or a related quantitative field
- Proficiency in Python and core ML frameworks such as TensorFlow or PyTorch
- Experience designing, training, and deploying machine learning models at production scale
- Familiarity with cloud platforms such as AWS, Google Cloud, or Azure for model serving
- Strong foundation in linear algebra, probability, statistics, and algorithmic problem solving
- Demonstrated experience with MLOps tooling, experiment tracking, and model monitoring pipelines
AI ML Engineering Jobs in California: Frequently Asked Questions
How do you become a ai ml engineering in California?
The most direct path is a bachelor's or master's degree in computer science, data science, or a related field, followed by hands-on project work that demonstrates model building and deployment. California has no state-issued license for this role, so hiring decisions hinge on technical portfolios, GitHub repositories, and practical experience. Many California employers, especially in the Bay Area, also weigh contributions to open-source ML projects and relevant research publications heavily.
Which companies hire ai ml engineerings in California?
Employers hiring ai ml engineerings in California right now include Apple, TikTok, and Amazon, based on current listings on Migrate Mate as of June 2026. California's concentration of semiconductor firms, autonomous vehicle companies, and large-scale consumer technology platforms means demand runs across a broader range of industries than in most other states.
Which California cities have the most ai ml engineering jobs?
San Francisco, San Jose, and Santa Clara have the most ai ml engineering openings in California. The Bay Area dominates because it is home to the headquarters and major research campuses of the world's largest technology companies, while Los Angeles draws demand from entertainment AI, aerospace, and a growing startup ecosystem anchored by firms in Santa Monica and Culver City.
Are there remote ai ml engineering jobs in California?
Yes, and more than most fields. About 21% of ai ml engineering openings tied to California are remote or hybrid as of June 2026, reflecting the desk-based and collaborative-tool-driven nature of the work. Model research, data pipeline development, and experimentation phases tend to be the most remote-compatible parts of the role, while on-site work is more common when teams are integrating models into hardware or real-time production systems.
How can I get hired as a ai ml engineering in California with little or no experience?
The most realistic entry path is through an internship or new-grad rotational program at a California technology company, where roles like ML intern, junior data scientist, or AI research assistant serve as direct feeders. Companies such as Google, Apple, and NVIDIA run structured new-graduate programs for candidates without prior industry experience. Building a portfolio of end-to-end ML projects and earning certifications from cloud providers gives candidates a concrete edge when competing for those first openings.
Where can I find and apply to ai ml engineering jobs in California?
You can find and apply to ai ml engineering jobs in California on Migrate Mate, which lists current openings tied to California employers and locations. Find the roles that fit your experience and target area and apply directly through each listing.
See All 1,635+ AI ML Engineering Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find AI ML Engineering Jobs