Research Scientist, Intern - PhD Foundational AI

About Us

Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.

Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you.

Visa's Internship Program offers a 12-week immersive experience where you'll work on impactful projects that advance Visa's mission. As a Visa intern, you'll build meaningful connections, strengthen your communication and business skills, and gain hands-on experience in a dynamic, global environment.

You'll have access to interactive workshops and learning sessions designed to build expertise, expand industry knowledge, and elevate your professional skills. You'll not only learn, you'll contribute, collaborate, and innovate. Beyond professional development, enjoy social events that foster community and connection.

The program culminates in a final presentation, where you'll share your project achievements and recommendations with Visa leaders-a chance to demonstrate impact and growth.

Visa Research expands Visa's technology research capabilities globally, conducting both applied and fundamental research. We partner closely with technology, product teams, academics, and governments to explore and develop technologies critical to the future of payments.

The GenAI Research team drives purpose-driven research to advance the next generation of AI for secure, intelligent, and scalable commerce. Our work spans:

• Foundational AI
  : large language models, representation learning, embeddings, adaptive model training, and methods to advance fraud detection, risk modeling, personalization, and commerce intelligence.

We unite long-term scientific inquiry with practical experimentation, partnering with product and engineering teams to translate research into real-world impact.

• Conduct generative AI and LLM research focusing on scalable methods, model adaptation, evaluation, and applied use cases.
• Design, implement, and evaluate AI algorithms for enterprise-scale systems.
• Develop proof-of-concept prototypes to transition research into innovative products.
• Optimize workflows for model training, inference, and data pipelines.
• Prepare technical publications, reports, and intellectual property submissions.
• Collaborate with engineering, product, and cross-functional partners to deliver impactful AI solutions.

Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.

including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work.

The estimated hourly range for a new hire into this position is $66.00 to $73.00 which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location.

• Students pursuing a Ph.D. with a graduation date in December 2027 or later

• Strong research record demonstrated bypublications, patents, presentations, or technical contributions.
• Experience in Generative AI, LLMs, deep learning, scalable ML, fine-tuning, model evaluation, or AI agents.
• Knowledge of large-scale model training, efficient inference, or distributed systems.
• Proficiency in Python, C++, Java, or similar languages.
• Familiarity with big data frameworks (e.g., Hadoop, Spark) is a plus.
• Ability to communicate complex concepts clearly and collaborate effectively.
• Adaptability to evolving research priorities and problem-solving in an experimental setting.

For roles located in the US, the estimated hourly rate is $66.00 to $73.00 USD. The hourly rate may vary depending on job-related factors which may include knowledge, skills, experience, and location.

Varies upon the needs of the department.

This position requires travel 5-10% of the time.

This position will be performed in an office setting. The position will require the incumbent to…