Research Intern Visa Sponsorship Jobs in California
California hosts some of the highest concentrations of research intern positions in the United States, with major employers including UC Berkeley, Stanford University, Caltech, and companies like Google, Genentech, and Lawrence Berkeley National Laboratory. Cities like San Francisco, San Diego, and the greater Los Angeles area drive consistent demand for international research talent across life sciences, technology, and engineering.
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To qualify for US internships, you must be currently enrolled in a degree-seeking program with an expected graduation date after the internship/co-op ends. If you do not meet this requirement, we invite you to explore other opportunities available on our careers website.
Intuit internships are 12 weeks throughout the summer. We have fixed start and end dates that are designed to work with various universities’ academic calendars.
- Cohort 1: Monday, May 17 - Friday, August 6, 2027 (12 weeks)
- Cohort 2: Monday, June 14 - Friday September 3, 2027 (12 weeks)
About our Emerging Talent Program:
Intuit invests in Emerging Talent because fresh perspectives strengthen our products and teams. The program is backed by a culture that values curiosity and collaboration, and you'll be supported by dedicated managers and mentors who are invested in your growth. As an intern or co-op, you'll work on meaningful projects with business impact, many centered on AI and emerging technologies, and contribute to driving decisions. You'll build skills through function-specific learning opportunities, connect with a global community of interns and co-ops through dedicated programming and social events, and get exposure to senior leadership and cross-functional work across Intuit's product ecosystem. Learn more about our Intern and Co-op Program here.
We are hiring AI research interns to join a high-caliber team of research scientists, domain experts, data scientists, and machine learning engineers working on foundational AI problems that directly influence Intuit's portfolio of fintech offerings to millions of consumers and small businesses. As a research intern, you'll work on cutting-edge AI technologies including robust and safe AI, neuro-symbolic AI (knowledge representation and learning, constraint satisfaction), reinforcement learning, agents and multi-agent systems, post-training and inference-time scaling in language models, and decision theory — researching and applying the latest innovations to develop advanced capabilities, push the state of the art in AI, and improve our customer experience.
Responsibilities
- Design and run experiments to explore open research questions in your area of focus (e.g., generative AI, reinforcement learning, neuro-symbolic AI).
- Develop and prototype novel models, algorithms, or methods, and rigorously evaluate them against relevant baselines.
- Read, synthesize, and build on current AI research literature to inform your approach and identify promising directions.
- Partner with research scientists, data scientists, and machine learning engineers to connect research findings to real product and customer impact.
- Document your methodology, findings, and code clearly, and present your work to both technical and non-technical audiences.
- Contribute to publication-quality write-ups of your research where applicable.
Qualifications
- Current enrollment in a PhD program in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, or a related field, with an expected graduation date after the internship ends.
- Must be legally authorized to work in the United States on a full-time basis for the duration of the internship.
- Ability to work in a hybrid environment at an Intuit office location determined by your team and role (Relocation stipend will be provided).
- Experience in one area of AI (e.g., natural language processing, large language modeling, generative AI, uncertainty quantification, reinforcement learning, algorithmic foundations of optimization, or similar).
- Established track record of publication, ideally with first-author papers at top-tier AI conferences (e.g., NeurIPS, ICML, ACL, AAAI, EMNLP, AISTATS, KDD).
- Experience developing and debugging in Python with TensorFlow, PyTorch, or similar frameworks.
- Experience disseminating scientific work in English through paper submissions and conference presentations.
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 (see more about our compensation and benefits at Intuit®: Careers | Benefits). 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: $64.20 - $86.68 /hr.
The expected base pay range for this position is:
Mountain View $0 - $0
Overview
To qualify for US internships, you must be currently enrolled in a degree-seeking program with an expected graduation date after the internship/co-op ends. If you do not meet this requirement, we invite you to explore other opportunities available on our careers website.
Intuit internships are 12 weeks throughout the summer. We have fixed start and end dates that are designed to work with various universities’ academic calendars.
- Cohort 1: Monday, May 17 - Friday, August 6, 2027 (12 weeks)
- Cohort 2: Monday, June 14 - Friday September 3, 2027 (12 weeks)
About our Emerging Talent Program:
Intuit invests in Emerging Talent because fresh perspectives strengthen our products and teams. The program is backed by a culture that values curiosity and collaboration, and you'll be supported by dedicated managers and mentors who are invested in your growth. As an intern or co-op, you'll work on meaningful projects with business impact, many centered on AI and emerging technologies, and contribute to driving decisions. You'll build skills through function-specific learning opportunities, connect with a global community of interns and co-ops through dedicated programming and social events, and get exposure to senior leadership and cross-functional work across Intuit's product ecosystem. Learn more about our Intern and Co-op Program here.
We are hiring AI research interns to join a high-caliber team of research scientists, domain experts, data scientists, and machine learning engineers working on foundational AI problems that directly influence Intuit's portfolio of fintech offerings to millions of consumers and small businesses. As a research intern, you'll work on cutting-edge AI technologies including robust and safe AI, neuro-symbolic AI (knowledge representation and learning, constraint satisfaction), reinforcement learning, agents and multi-agent systems, post-training and inference-time scaling in language models, and decision theory — researching and applying the latest innovations to develop advanced capabilities, push the state of the art in AI, and improve our customer experience.
Responsibilities
- Design and run experiments to explore open research questions in your area of focus (e.g., generative AI, reinforcement learning, neuro-symbolic AI).
- Develop and prototype novel models, algorithms, or methods, and rigorously evaluate them against relevant baselines.
- Read, synthesize, and build on current AI research literature to inform your approach and identify promising directions.
- Partner with research scientists, data scientists, and machine learning engineers to connect research findings to real product and customer impact.
- Document your methodology, findings, and code clearly, and present your work to both technical and non-technical audiences.
- Contribute to publication-quality write-ups of your research where applicable.
Qualifications
- Current enrollment in a PhD program in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, or a related field, with an expected graduation date after the internship ends.
- Must be legally authorized to work in the United States on a full-time basis for the duration of the internship.
- Ability to work in a hybrid environment at an Intuit office location determined by your team and role (Relocation stipend will be provided).
- Experience in one area of AI (e.g., natural language processing, large language modeling, generative AI, uncertainty quantification, reinforcement learning, algorithmic foundations of optimization, or similar).
- Established track record of publication, ideally with first-author papers at top-tier AI conferences (e.g., NeurIPS, ICML, ACL, AAAI, EMNLP, AISTATS, KDD).
- Experience developing and debugging in Python with TensorFlow, PyTorch, or similar frameworks.
- Experience disseminating scientific work in English through paper submissions and conference presentations.
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 (see more about our compensation and benefits at Intuit®: Careers | Benefits). 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: $64.20 - $86.68 /hr.
The expected base pay range for this position is:
Mountain View $0 - $0
Research Intern Job Roles in California
See all 479+ Research Intern Jobs in California
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Search Research Intern Jobs in CaliforniaResearch Intern Jobs in California: Frequently Asked Questions
Which companies sponsor visas for research interns in California?
Universities and research institutions are among the most active sponsors for research intern roles in California. UC San Diego, UC Berkeley, Stanford, and Caltech regularly host international researchers. On the industry side, companies like Genentech, Illumina, NVIDIA, and various biotech firms in the San Diego and San Francisco Bay Area have documented histories of sponsoring research-focused positions, particularly for candidates coming through academic pipelines.
What visa types are most common for research intern roles in California?
J-1 visa is the most common visa for research interns in California, particularly through the Research Scholar or Intern exchange visitor categories, which many universities and national labs administer directly. F-1 students with valid OPT or CPT authorization can also work in research intern roles without a separate employer-sponsored petition. H-1B visa sponsorship is less common for internships given the temporary nature of the role, though some full-time conversions may involve H-1B later.
Which cities in California have the most research intern sponsorship jobs?
The San Francisco Bay Area, including cities like Berkeley, Palo Alto, and South San Francisco, concentrates a large share of research intern opportunities across tech and biotech. San Diego is a major hub for life sciences and genomics research, with employers clustered in Torrey Pines and Sorrento Valley. Los Angeles also offers research intern roles, particularly through UCLA, USC, and aerospace and defense contractors in the region.
How to find research intern visa sponsorship jobs in California?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it easier to identify California-based research intern roles where employers are open to international candidates. Rather than sifting through general job boards, you can browse Migrate Mate for research intern positions across California's key hubs in the Bay Area, San Diego, and Los Angeles, with sponsorship status surfaced directly in the listing details.
Are there any California-specific considerations for research interns seeking visa sponsorship?
California's concentration of research universities and federally funded national laboratories, such as Lawrence Berkeley and SLAC, creates a strong institutional infrastructure for J-1 and F-1 visa sponsorship. California employers must also comply with the state's strict worker protections regardless of visa type. Research interns at federally funded facilities may face additional security clearance requirements that can affect eligibility for certain roles, particularly for nationals of specific countries.
What is the prevailing wage for sponsored research intern 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.