AI Researcher Jobs in San Francisco, CA
AI Researcher jobs in San Francisco concentrate in SoMa, Mission Bay, and the Financial District, with demand driven by foundation model labs, enterprise AI platforms, and biotech firms. Employers hiring right now include OpenAI, ivo, and Cisco. See the openings below and apply to the ones that match your experience.
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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.
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:
17 Sep 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.
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Who's Hiring
- OpenAI17

- ivo11

- Cisco11

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- Technology & Software39
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- Retail6
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AI Researcher Jobs in San Francisco: Frequently Asked Questions
How do I get a ai researcher job in San Francisco?
Focus your search on the clusters of AI-native companies in SoMa and Mission Bay, enterprise tech firms in the Financial District, and university-affiliated research labs near UCSF and UC Berkeley. Candidates who can demonstrate published work, open-source contributions, or hands-on experience with large language models move faster through hiring pipelines here. Tailoring your application to a specific company's research agenda gives you a real edge in this market.
Which companies hire ai researchers in San Francisco?
Employers hiring ai researchers in San Francisco right now include OpenAI, ivo, and Cisco, based on current listings on Migrate Mate as of September 2026. San Francisco's hiring mix skews heavily toward foundation model startups, established tech platforms, and enterprise software companies with dedicated AI research divisions.
Are there remote ai researcher jobs in San Francisco?
Yes, though many roles require at least some on-site collaboration, particularly those involving proprietary hardware, lab access, or close team iteration. About 56% of ai researcher openings tied to San Francisco are remote or hybrid as of September 2026, reflecting the analytical and software-intensive nature of much of the work. Fully remote positions tend to concentrate in applied research and machine learning engineering tracks rather than core lab research.
How can I get a ai researcher job in San Francisco with little or no experience?
The most realistic entry path in San Francisco is through a research internship or junior ML engineer role at one of the city's many AI startups in SoMa or Mission Bay, which often hire candidates with strong graduate coursework and a demonstrable project portfolio. Contributing to open-source AI projects, publishing on arXiv, or completing a research fellowship at a Bay Area institution significantly strengthens your candidacy with local employers who prize proven initiative over credentials alone.
Which industries hire the most ai researchers in San Francisco?
San Francisco ai researcher roles concentrate in Technology & Software, Science & Research, and Retail, based on current listings on Migrate Mate as of September 2026. The city's dense ecosystem of foundation model companies, healthcare AI firms anchored near the UCSF Mission Bay campus, and fintech platforms with algorithmic research teams drives persistent demand across those sectors.
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