Artificial Intelligence Scientist Visa Sponsorship Jobs in California
Artificial intelligence scientist roles in California sit at the center of global AI research and product development. Companies like Google DeepMind, Meta AI, OpenAI, and Apple hire heavily in the San Francisco Bay Area and Los Angeles, making California the most active state for visa-sponsored AI scientist positions in the country.
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Come join our collaborative and creative group of AI scientists and machine learning engineers and build models that directly affect hundreds of thousands of our customers. In this role you will be building and deploying machine learning models using both analytical algorithms and deep learning approaches, targeted towards areas like marketing audiences, brand management, generative engine optimization, price optimization, creative generation and optimization, Digital twins etc. The world of marketing is changing dramatically. We are waiting for you to join us and do the best work of your life.
Responsibilities
- Practices excellent leadership and communication skills to influence and lead teams and to evangelize AI science across the organization
- Leads team’s work in one or more of: ML, NLP, Statistics, or Optimization, performs hand-on work in these domains
- Weighs ROI considerations of general and tailored capabilities for projects in the team
- Creates new capabilities that solve critical business problems
- Pushes the boundaries of ML by developing foundational methods and novel applications from state-of-the-art ML technologies and industry trends
- Influences business leaders to shape mission critical projects
- Creates multi-year vision that connects product strategy with technology strategy
- Drives architecture decisions, influences and contributes to ML platform architecture and strategy
- Leads team and partners to the successful delivery and integration of ML solutions
- Conducts design reviews, holds teams to technical and operational rigor
- Acts as an advisor in overseeing and mentoring the work of colleagues towards the building of a vibrant practice community
Qualifications
- PhD/MS in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field
- Prior experience / qualifications in Marketing platforms, media management. If you have a background in Cognitive sciences / Human Psychology (Consumers, Buyers, Supporters, Detractors, Group behavioral sciences), this is the role for you
- Solid knowledge of statistical techniques
- 3+ years as either a lead in an AI science role or in a management position in AI science
- Strong communication skills and proven experience as an influencer at the executive level
- Hands-on programming experience and expert knowledge in one or more of: ML, NLP, Statistics, or Optimization
- 6+ years’ experience manipulating large datasets and using databases (e.g. R, SQL, S-Plus, etc.)
- 6+ years’ experience with a general-purpose programming language (e.g. Python, Scala, etc.)
- Expert knowledge and hands-on experience with ML pipelines, processes, and design patterns
- Proven track record of influencing business leaders to shape mission critical projects
- Proven track record of leading team to successful delivery of ML solutions
- Strong interpersonal and communication skills in order to effectively contribute to technical teams and make presentations to a variety of technical and business personnel
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs. Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:
- Bay Area California $273,500 - $369,500
Overview
Come join our collaborative and creative group of AI scientists and machine learning engineers and build models that directly affect hundreds of thousands of our customers. In this role you will be building and deploying machine learning models using both analytical algorithms and deep learning approaches, targeted towards areas like marketing audiences, brand management, generative engine optimization, price optimization, creative generation and optimization, Digital twins etc. The world of marketing is changing dramatically. We are waiting for you to join us and do the best work of your life.
Responsibilities
- Practices excellent leadership and communication skills to influence and lead teams and to evangelize AI science across the organization
- Leads team’s work in one or more of: ML, NLP, Statistics, or Optimization, performs hand-on work in these domains
- Weighs ROI considerations of general and tailored capabilities for projects in the team
- Creates new capabilities that solve critical business problems
- Pushes the boundaries of ML by developing foundational methods and novel applications from state-of-the-art ML technologies and industry trends
- Influences business leaders to shape mission critical projects
- Creates multi-year vision that connects product strategy with technology strategy
- Drives architecture decisions, influences and contributes to ML platform architecture and strategy
- Leads team and partners to the successful delivery and integration of ML solutions
- Conducts design reviews, holds teams to technical and operational rigor
- Acts as an advisor in overseeing and mentoring the work of colleagues towards the building of a vibrant practice community
Qualifications
- PhD/MS in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field
- Prior experience / qualifications in Marketing platforms, media management. If you have a background in Cognitive sciences / Human Psychology (Consumers, Buyers, Supporters, Detractors, Group behavioral sciences), this is the role for you
- Solid knowledge of statistical techniques
- 3+ years as either a lead in an AI science role or in a management position in AI science
- Strong communication skills and proven experience as an influencer at the executive level
- Hands-on programming experience and expert knowledge in one or more of: ML, NLP, Statistics, or Optimization
- 6+ years’ experience manipulating large datasets and using databases (e.g. R, SQL, S-Plus, etc.)
- 6+ years’ experience with a general-purpose programming language (e.g. Python, Scala, etc.)
- Expert knowledge and hands-on experience with ML pipelines, processes, and design patterns
- Proven track record of influencing business leaders to shape mission critical projects
- Proven track record of leading team to successful delivery of ML solutions
- Strong interpersonal and communication skills in order to effectively contribute to technical teams and make presentations to a variety of technical and business personnel
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs. Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:
- Bay Area California $273,500 - $369,500
Artificial Intelligence Scientist Job Roles in California
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Search Artificial Intelligence Scientist Jobs in CaliforniaArtificial Intelligence Scientist Jobs in California: Frequently Asked Questions
Which companies sponsor visas for artificial intelligence scientists in California?
Google, Meta, Apple, Microsoft, Amazon, OpenAI, Anthropic, and NVIDIA are among the most active H-1B visa sponsors for artificial intelligence scientist roles in California. DOL Labor Condition Application disclosure data consistently shows these employers filing for AI-related job titles at California addresses. Semiconductor and cloud infrastructure companies in Silicon Valley also appear frequently in sponsorship filings for research-focused AI positions.
Which visa types are most common for artificial intelligence scientist roles in California?
The H-1B is the most common visa for artificial intelligence scientists in California. Artificial intelligence scientist roles typically satisfy the specialty occupation requirement because they demand at minimum a bachelor's degree in computer science, statistics, or a closely related field. Candidates with extraordinary research records may also qualify for the O-1A. Australians can use the E-3 visa, which has no lottery and shorter wait times than the H-1B.
Which cities in California have the most artificial intelligence scientist sponsorship jobs?
The San Francisco Bay Area, including San Jose, Mountain View, Menlo Park, and San Francisco itself, accounts for the largest concentration of artificial intelligence scientist sponsorship roles in California. Los Angeles has grown significantly as a secondary hub, driven by entertainment tech, autonomous vehicles, and applied AI startups. San Diego hosts AI research tied to biotech and defense contractors, and is worth considering alongside the major Bay Area employers.
How to find artificial intelligence scientist visa sponsorship jobs in California?
Migrate Mate filters job listings specifically for visa sponsorship, making it easier to identify artificial intelligence scientist openings in California without sorting through positions that exclude international candidates. You can browse by role and state to surface active listings from employers with documented H-1B or other sponsorship history. Because sponsorship availability isn't always stated upfront in job postings, using a platform built around sponsorship data saves considerable research time.
Are there any California-specific considerations for artificial intelligence scientists seeking visa sponsorship?
California's prevailing wage requirements under H-1B rules reflect the state's high cost of living, so employers must pay wages benchmarked to California wage levels rather than national averages. California is also home to several universities, including UC Berkeley, Stanford, and UCLA, that produce significant pipelines of AI researchers who transition from OPT into sponsored roles. The density of AI-focused venture-backed companies in the Bay Area also means sponsorship is more normalized here than in most other states.
What is the prevailing wage for sponsored artificial intelligence scientist 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.