AI Researcher Visa Sponsorship Jobs in California
AI researcher visa sponsorship jobs in California are concentrated in the San Francisco Bay Area and Los Angeles, where companies like Google DeepMind, Meta AI, OpenAI, and Nvidia run large research divisions. Academic institutions including UC Berkeley, Stanford, and Caltech also hire sponsored researchers, making California the most active state for this role.
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Wells Fargo is seeking a Quantitative Analytics Specialist - AI Research Scientist for Foundation Models & Agentic AI to join the Frontier AI Model Methodology team. This team plays an important role in developing and implementing methodologies, AI agents, and technology solutions that help improve and accelerate model development and validation processes across the organization.
In this role, you will support the cutting-edge applied research and development initiatives in Artificial Intelligence, with a focus on building the next generation of Foundation Models, Agentic AI solutions, and Generative AI systems.
You will contribute to the development of innovative tools and methodologies that enhance model governance, validation efficiency, and overall risk management practices.
This role offers a unique opportunity to work at the intersection of AI research and real-world financial applications that impact millions of customers.
Success in this role requires strong analytical and technical skills, a willingness to learn emerging AI technologies, and the ability to work effectively within cross-functional teams to deliver scalable and reliable solutions.
In this role, you will:
- Support highly complex research projects in AI / Generative AI / Agentic AI / Machine Learning from ideation, experimentation, implementation, evaluation and documentation.
- Support building the next generation of foundation models and agentic AI systems - exploration, application, and rigorous evaluation of emerging AI technologies that solve real-world challenges.
- Collaborate closely with interdisciplinary teams, including researchers, data scientists, applied engineers, and domain experts.
- Translate research insights into impactful business solutions, open-source contributions, patents, and publications.
- Contribute to building the next generation of foundation models and agentic AI systems trained / operating on large volumes of heterogeneous data - both structured and unstructured - that enhance Wells Fargo's products, services, and operations.
- Publish in top-tier AI/ML conferences and journals and represent Wells Fargo in the broader AI research community.
Required Qualifications:
- 2+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- Bachelor's degree or higher in statistics, mathematics, physics, engineering, computer science, economics, or quantitative discipline
Desired Qualifications:
- PhD in Computer Science, Artificial Intelligence, or a closely related computational field, or an MSc with at least 3 years of relevant applied research or industry experience.
- Solid proven research track record with publications in top-tier AI/ML conferences such as NeurIPS, ICML, ICLR, NAACL, or EMNLP, combined with a demonstrated interest in translating research into real-world applications that impact millions of customers.
- Deep expertise in one or more specialized areas, including but not limited to: Foundation Models (GPT-4, BERT, LLaMA, Claude), Large Language Models (LLMs), Large Reasoning Models, Multimodal Models, Agentic AI
- Demonstrated ability to apply GenAI / Agentic AI in the full build lifecycle - design, implementation, testing, and iteration - leveraging AI coding copilots (e.g., GitHub Copilot) and agentic coding workflows to accelerate delivery while maintaining enterprise standards
- Hands-on experience with GPU infrastructure, Transformer architecture, modern AI/ML development frameworks and tools such as TensorFlow, PyTorch, Hugging Face, AWS, GCP.
- Strong engineering background with demonstrated ability to contribute to collaborative software engineering projects, including version control, code reviews, and scalable system design.
- Experience with transferring foundation models, LLMs, and agentic AI systems in production
Job Expectations:
- This position offers a hybrid work schedule
- Willingness to work onsite at stated location on the job posting
- This position is eligible for VISA sponsorship
Job Posting Locations:
- Three Wells Fargo Center, CHARLOTTE, NC
- 600 Wells Fargo, MINNEAPOLIS, MN
- Las Colinas Bldg B, Irving Campus, IRVING, TX
- West Des Moines Campus, 800 S Jordan Creek Pkwy, WEST DES MOINES, IA
- D Building,114N Beaumont St -D Bldg., SAINT LOUIS, MO
- 1150 W Washington, TEMPE, AZ
- 333 Market, SAN FRANCISCO, CA
Pay Range
Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities. $100,000.00 - $196,000.00
Benefits
Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.
- Health benefits
- 401(k) Plan
- Paid time off
- Disability benefits
- Life insurance, critical illness insurance, and accident insurance
- Parental leave
- Critical caregiving leave
- Discounts and savings
- Commuter benefits
- Tuition reimbursement
- Scholarships for dependent children
- Adoption reimbursement
Posting End Date:
1 Nov 2026
Job posting may come down early due to volume of applicants.
We Value Equal Opportunity
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.
Applicants with Disabilities
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.
Drug and Alcohol Policy
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
Wells Fargo Recruitment and Hiring Requirements:
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.
About this role:
Wells Fargo is seeking a Quantitative Analytics Specialist - AI Research Scientist for Foundation Models & Agentic AI to join the Frontier AI Model Methodology team. This team plays an important role in developing and implementing methodologies, AI agents, and technology solutions that help improve and accelerate model development and validation processes across the organization.
In this role, you will support the cutting-edge applied research and development initiatives in Artificial Intelligence, with a focus on building the next generation of Foundation Models, Agentic AI solutions, and Generative AI systems.
You will contribute to the development of innovative tools and methodologies that enhance model governance, validation efficiency, and overall risk management practices.
This role offers a unique opportunity to work at the intersection of AI research and real-world financial applications that impact millions of customers.
Success in this role requires strong analytical and technical skills, a willingness to learn emerging AI technologies, and the ability to work effectively within cross-functional teams to deliver scalable and reliable solutions.
In this role, you will:
- Support highly complex research projects in AI / Generative AI / Agentic AI / Machine Learning from ideation, experimentation, implementation, evaluation and documentation.
- Support building the next generation of foundation models and agentic AI systems - exploration, application, and rigorous evaluation of emerging AI technologies that solve real-world challenges.
- Collaborate closely with interdisciplinary teams, including researchers, data scientists, applied engineers, and domain experts.
- Translate research insights into impactful business solutions, open-source contributions, patents, and publications.
- Contribute to building the next generation of foundation models and agentic AI systems trained / operating on large volumes of heterogeneous data - both structured and unstructured - that enhance Wells Fargo's products, services, and operations.
- Publish in top-tier AI/ML conferences and journals and represent Wells Fargo in the broader AI research community.
Required Qualifications:
- 2+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- Bachelor's degree or higher in statistics, mathematics, physics, engineering, computer science, economics, or quantitative discipline
Desired Qualifications:
- PhD in Computer Science, Artificial Intelligence, or a closely related computational field, or an MSc with at least 3 years of relevant applied research or industry experience.
- Solid proven research track record with publications in top-tier AI/ML conferences such as NeurIPS, ICML, ICLR, NAACL, or EMNLP, combined with a demonstrated interest in translating research into real-world applications that impact millions of customers.
- Deep expertise in one or more specialized areas, including but not limited to: Foundation Models (GPT-4, BERT, LLaMA, Claude), Large Language Models (LLMs), Large Reasoning Models, Multimodal Models, Agentic AI
- Demonstrated ability to apply GenAI / Agentic AI in the full build lifecycle - design, implementation, testing, and iteration - leveraging AI coding copilots (e.g., GitHub Copilot) and agentic coding workflows to accelerate delivery while maintaining enterprise standards
- Hands-on experience with GPU infrastructure, Transformer architecture, modern AI/ML development frameworks and tools such as TensorFlow, PyTorch, Hugging Face, AWS, GCP.
- Strong engineering background with demonstrated ability to contribute to collaborative software engineering projects, including version control, code reviews, and scalable system design.
- Experience with transferring foundation models, LLMs, and agentic AI systems in production
Job Expectations:
- This position offers a hybrid work schedule
- Willingness to work onsite at stated location on the job posting
- This position is eligible for VISA sponsorship
Job Posting Locations:
- Three Wells Fargo Center, CHARLOTTE, NC
- 600 Wells Fargo, MINNEAPOLIS, MN
- Las Colinas Bldg B, Irving Campus, IRVING, TX
- West Des Moines Campus, 800 S Jordan Creek Pkwy, WEST DES MOINES, IA
- D Building,114N Beaumont St -D Bldg., SAINT LOUIS, MO
- 1150 W Washington, TEMPE, AZ
- 333 Market, SAN FRANCISCO, CA
Pay Range
Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities. $100,000.00 - $196,000.00
Benefits
Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.
- Health benefits
- 401(k) Plan
- Paid time off
- Disability benefits
- Life insurance, critical illness insurance, and accident insurance
- Parental leave
- Critical caregiving leave
- Discounts and savings
- Commuter benefits
- Tuition reimbursement
- Scholarships for dependent children
- Adoption reimbursement
Posting End Date:
1 Nov 2026
Job posting may come down early due to volume of applicants.
We Value Equal Opportunity
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.
Applicants with Disabilities
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.
Drug and Alcohol Policy
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
Wells Fargo Recruitment and Hiring Requirements:
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.
AI Researcher Job Roles in California
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Search AI Researcher Jobs in CaliforniaAI Researcher Jobs in California: Frequently Asked Questions
Which companies sponsor visas for AI researchers in California?
The largest sponsors of AI researcher roles in California include Google DeepMind, Meta AI Research, Apple, Microsoft Research, Nvidia, Adobe, Salesforce AI, and OpenAI. University-affiliated research labs at Stanford, UC Berkeley, and Caltech also sponsor researchers. Sponsorship activity is concentrated in the Bay Area and Los Angeles, with smaller but growing activity in San Diego.
Which visa types are most common for AI researcher roles in California?
The H-1B visa is the most common visa for AI researchers in California, given that the role typically requires at least a bachelor's degree in computer science, machine learning, or a related field, meeting the specialty occupation standard. Researchers with exceptional recognition may qualify for the O-1A. Those with a master's or PhD may also be eligible for EB-1A or EB-2 NIW immigrant visa pathways over time.
Which cities in California have the most AI researcher sponsorship jobs?
The San Francisco Bay Area accounts for the largest share, with major research hubs in San Francisco, Mountain View, Menlo Park, Palo Alto, and San Jose. Los Angeles is the second-largest market, driven by companies like Snap, Riot Games, and university labs at UCLA and USC. San Diego has a smaller but growing presence through biotech-adjacent AI research roles.
How to find ai researcher visa sponsorship jobs in California?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to identify AI researcher roles in California where employers are actively willing to sponsor. Because not every job posting discloses sponsorship intent upfront, using Migrate Mate saves time by surfacing only confirmed sponsoring employers, which is especially relevant in California's competitive research hiring market.
Are there any California-specific considerations for AI researchers seeking visa sponsorship?
California's prevailing wage requirements under H-1B rules apply at the county level, so wages for AI researcher roles in San Francisco or Santa Clara counties are benchmarked higher than national averages. Many California employers also have established immigration support infrastructure, particularly larger tech companies, which can mean faster internal processing. PhD graduates from California universities are frequently a starting point for sponsored research roles at nearby companies.
What is the prevailing wage for sponsored ai researcher 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.