AI Jobs in California
AI jobs in California are concentrated in the San Francisco Bay Area, Los Angeles, and San Diego, where companies like Google, Apple, and Meta maintain large AI research and engineering operations. Demand is strongest for machine learning engineers, large language model specialists, and AI product managers, with openings at every level from entry-level ML engineer to principal researcher. California is among the most active AI hiring markets in the world, reflecting both the density of technology headquarters and the growing adoption of AI across healthcare, entertainment, and defense sectors. Scan the live roles below and apply to whichever ones fit.
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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: Sunnyvale, CA, USA; Seattle, WA, USA.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 4 years of experience in management consulting, product management and strategy, or analytics in a technology company.
Experience working with and analyzing data. -
Preferred qualifications:
- Advanced degree or equivalent practical experience.
- Experience managing multiple projects.
- Experience working with product and engineering teams.
About the job
Product and Business Strategy Leaders bring together teams across Google’s functions to help products execute optimally. Our team pushes Google to scale at key points that refine our products and infrastructure by executing efficiently, bringing solid business sense and sound judgment, and working effectively across organizational lines.
Our roles often include components of strategy (e.g. analyzing and understanding new trends in the industry, building business plans), operations (e.g. running the cadence of organizations, connecting the operating lines between our functions), and communications. Our team partners with senior leadership to run important functions that cross-cut our existing organizations and deliver high impact projects. We help Engineers, PMs, UX, and all of our other functions to build amazing products that delight our users, and then get those products into their hands.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $126000 - $180000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Drive business and product strategy for the various domains within AI2 working with product and engineering leadership and enable the product and engineering leadership to make sound long-term product strategy decisions to meet the needs of Google Cloud platform (GCP).
- Surface issues within current processes and systems, design scalable solutions to address them, and partner cross-functionally to implement these upgrades across the broader organization with focus in product launch and regional expansion billing and stock keeping unit (SKU) management workflows.
- Work cross-functionally across Google Cloud including Sales, Marketing, GTM, Finance, Billing, Business Programs, and others to drive key strategic AI2 initiatives forward.
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: Sunnyvale, CA, USA; Seattle, WA, USA.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 4 years of experience in management consulting, product management and strategy, or analytics in a technology company.
Experience working with and analyzing data. -
Preferred qualifications:
- Advanced degree or equivalent practical experience.
- Experience managing multiple projects.
- Experience working with product and engineering teams.
About the job
Product and Business Strategy Leaders bring together teams across Google’s functions to help products execute optimally. Our team pushes Google to scale at key points that refine our products and infrastructure by executing efficiently, bringing solid business sense and sound judgment, and working effectively across organizational lines.
Our roles often include components of strategy (e.g. analyzing and understanding new trends in the industry, building business plans), operations (e.g. running the cadence of organizations, connecting the operating lines between our functions), and communications. Our team partners with senior leadership to run important functions that cross-cut our existing organizations and deliver high impact projects. We help Engineers, PMs, UX, and all of our other functions to build amazing products that delight our users, and then get those products into their hands.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $126000 - $180000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Drive business and product strategy for the various domains within AI2 working with product and engineering leadership and enable the product and engineering leadership to make sound long-term product strategy decisions to meet the needs of Google Cloud platform (GCP).
- Surface issues within current processes and systems, design scalable solutions to address them, and partner cross-functionally to implement these upgrades across the broader organization with focus in product launch and regional expansion billing and stock keeping unit (SKU) management workflows.
- Work cross-functionally across Google Cloud including Sales, Marketing, GTM, Finance, Billing, Business Programs, and others to drive key strategic AI2 initiatives forward.
See All 26 AI Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find AI JobsAI Jobs by City in California
Where California roles are concentrated, by current openings.
AI Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Manufacturing
- Technology & Software
- Healthcare & Medical Services
- Biotechnology & Pharmaceuticals
What California Employers Look For
The qualifications that appear most often in AI jobs across California.
- Bachelor's or master's degree in computer science, machine learning, or a related field
- Hands-on experience with machine learning frameworks such as PyTorch or TensorFlow
- Proficiency in Python and familiarity with large-scale data processing pipelines
- Experience designing, training, and deploying models in production environments
- Strong written and verbal communication skills for cross-functional collaboration
- Familiarity with cloud platforms such as Google Cloud, AWS, or Azure for model deployment
AI Jobs in California: Frequently Asked Questions
How do you become a ai in California?
AI roles in California do not require a state-issued license, but employers consistently expect a bachelor's degree in computer science, statistics, or a closely related discipline, with a master's degree preferred for research positions. Most candidates build their qualifications through university programs at UC Berkeley, Stanford, UCLA, or UCSD, then enter the field through internships or new-graduate programs at California technology companies before advancing into specialized roles.
Which companies hire ais in California?
Companies currently hiring ais in California include Innovaccer, AMD, and Booz Allen Hamilton, per current listings on Migrate Mate as of September 2026. California's concentration of major technology headquarters, research labs, and AI-forward startups means the employer base is broader and more varied here than in any other state.
Which California cities have the most ai jobs?
San Francisco, El Segundo, and Los Angeles account for the largest share of ai openings in California. The Bay Area leads because of the density of technology headquarters and research institutions anchored there, while Los Angeles reflects strong hiring in entertainment technology, healthcare AI, and aerospace, and San Diego draws from its life sciences and defense contractor base.
Are there remote ai jobs in California?
Yes, and more than most fields. About 33% of ai openings tied to California are remote or hybrid as of September 2026, reflecting how much of the work involves model development, data analysis, and code review rather than on-site lab or hardware access. Fully remote arrangements are most common for applied ML engineering and data science roles, while positions involving specialized compute infrastructure or team-embedded research tend to require in-office presence.
How can I get hired as a ai in California with little or no experience?
The most realistic entry path is through a structured internship or new-graduate rotational program at a California technology employer, as companies like Google, Meta, and Apple run formal new-grad pipelines that consider candidates without professional AI experience. Building a portfolio of personal or academic projects on platforms like GitHub, completing graduate coursework at a UC or CSU campus, and targeting associate ML engineer or data analyst roles at mid-size California companies are concrete ways to open the door without prior industry experience.
Where can I find and apply to ai jobs in California?
You can find and apply to ai jobs in California on Migrate Mate, which lists current California openings in one place. Search the roles that match your background, find the ones that fit your experience level and location, and apply directly to each position that interests you.
See All 26 AI Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
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