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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In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Seattle, WA, USA; New York, NY, USA.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
- 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical fields.
- 2 years of experience with data structures and algorithms.
- Experience with image processing, computer vision, or machine learning applications.
About the job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
As a part of this team, you will focus on productionizing GenAI shopping features across Google’s most prominent surfaces, including Search, Commerce, Ads, Chrome, and YouTube. Here, you will master the art of scaling multimodal GenAI to production-level quality, leveraging Google’s infrastructure to deliver highly customized, industry-defining user experiences.
Google Ads is at the forefront of AI innovation, applying cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion dollar global business.
Our work directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return-on-investment. We foster a culture of deep collaboration, partnering closely with teams like Google Research and DeepMind to solve complex challenges. Join us to work on state-of-the-art AI, take on problems at an unparalleled scale, and build the next generation of advertising technology.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Write product or system development code.
- Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
- Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
- Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Seattle, WA, USA; New York, NY, USA.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
- 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical fields.
- 2 years of experience with data structures and algorithms.
- Experience with image processing, computer vision, or machine learning applications.
About the job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
As a part of this team, you will focus on productionizing GenAI shopping features across Google’s most prominent surfaces, including Search, Commerce, Ads, Chrome, and YouTube. Here, you will master the art of scaling multimodal GenAI to production-level quality, leveraging Google’s infrastructure to deliver highly customized, industry-defining user experiences.
Google Ads is at the forefront of AI innovation, applying cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion dollar global business.
Our work directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return-on-investment. We foster a culture of deep collaboration, partnering closely with teams like Google Research and DeepMind to solve complex challenges. Join us to work on state-of-the-art AI, take on problems at an unparalleled scale, and build the next generation of advertising technology.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Write product or system development code.
- Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
- Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
- Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.
See All 41 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 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
Top Industries Hiring
- Banking & Financial Services
- Automotive
- Electronics & Hardware
- Technology & Software
- Investment & Asset Management
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 Amazon Web Services, General Motors, and AMD, based on current listings on Migrate Mate as of November 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, Mountain View, 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 67% of ai ml engineering openings tied to California are remote or hybrid as of November 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 41 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