Artificial Intelligence H-1B Sponsorship Jobs in California
California is the top state for H-1B visa artificial intelligence jobs, anchored by Silicon Valley employers like Google, Meta, Apple, and OpenAI alongside a dense cluster of AI-native startups. San Francisco, San Jose, and Los Angeles each host significant hiring activity. Most roles require a bachelor's degree or higher in computer science, machine learning, or a related technical field.
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ABOUT THE JOB
Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.
Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.
The US base salary range for this full-time position is $240,000-$338,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Direct projects that combine analytical and organizational complexity towards clear, sound, and actionable decisions.
- Own projects end-to-end, covering problem definition, metrics development, data extraction and manipulation, visualization, creation, and implementation of analytical/statistical models, and presentation to stakeholders.
- Address ambiguous or new problems by using the capabilities of existing systems and collaborate to turn broad problems into work for the team.
- Oversee the integration of cross-functional and cross-organizational project/process timelines, drive improvements and recommendations, and define operational goals and objectives.
- Provide direction and accomplish results through leading/impacting the contributions of others.
MINIMUM QUALIFICATIONS
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 13 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 10 years work experience plus a Master's degree).
PREFERRED QUALIFICATIONS
- Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 15 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
BENEFITS
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 (statutory, where applicable); 5 days/event (discretionary)
- 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: Kirkland, WA, USA; Sunnyvale, CA, USA.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
H-1B Artificial Intelligence Job Roles in California
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Search Artificial Intelligence Jobs in CaliforniaArtificial Intelligence H-1B Sponsorship Jobs in California: Frequently Asked Questions
Which companies in California sponsor H-1B visas for artificial intelligence roles?
California's largest H-1B sponsors in artificial intelligence include Google, Meta, Apple, Microsoft's Bay Area offices, and Amazon Web Services, along with AI-focused companies such as OpenAI, Anthropic, Scale AI, and Databricks. Enterprise software companies like Salesforce and Adobe also file significant numbers of H-1B petitions for AI and machine learning engineers at their California headquarters.
Which California cities have the most artificial intelligence H-1B sponsorship jobs?
San Francisco and San Jose account for the largest share of artificial intelligence H-1B jobs in California, driven by the concentration of technology companies in the Bay Area. Los Angeles is growing quickly, particularly in applied AI and entertainment technology. Smaller but active markets include Mountain View, Sunnyvale, Palo Alto, and San Diego, which has a notable cluster of AI research and biotech-adjacent roles.
What types of artificial intelligence roles typically qualify for H-1B sponsorship in California?
Roles that regularly qualify include machine learning engineer, research scientist, data scientist, natural language processing engineer, computer vision engineer, and AI infrastructure engineer. These positions typically require a bachelor's degree or higher in computer science, statistics, electrical engineering, or a closely related field. The degree must be directly relevant to the specific duties of the role to satisfy the H-1B specialty occupation requirement.
How do I find artificial intelligence H-1B sponsorship jobs in California?
Migrate Mate specializes in visa sponsorship jobs and lets you filter specifically by H-1B, industry, and state, making it straightforward to browse artificial intelligence H-1B roles in California. Because sponsorship willingness is not always advertised in standard job postings, using a platform built around verified sponsorship data saves significant time compared to filtering through general job searches.
Are there any California-specific considerations for H-1B sponsorship in artificial intelligence?
California's strong worker-protection laws affect how employers structure H-1B employment agreements, particularly around at-will employment clauses and non-compete restrictions, which are largely unenforceable in the state. The high density of cap-exempt employers, including universities like UC Berkeley, UCLA, and Stanford and affiliated research institutes, means some AI researchers may have access to H-1B petitions outside the annual lottery.
What is the prevailing wage for H-1B artificial intelligence jobs in California?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.