Job Staff Research Scientist, Intern - PhD

Job Description

Visa Research is an organization that focuses exclusively on the scientific foundations of existing, emerging and future commerce-related technologies. With the establishment of a formal research organization and the associated long-term commitment to technology research, Visa joins the ranks of a small number of industry leaders with both the insight and ability to substantially influence and systemically impact the future.

The Research Intern will work with a team to conduct world-class research on data analytics and contribute to the long-term research agenda in large-scale data analytics and machine learning, as well as deliver innovative technologies and insights to Visa's strategic products and business. This role represents an exciting opportunity to make key contributions to Visa's strategic vision as a world-leading data-driven company. The successful candidate must have a strong academic track record and demonstrate excellent software engineering skills. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and excellent collaboration skills.

This role represents an exciting opportunity to make key contributions to Visa's strategic vision as the world-leading digital payments company. The successful candidate must have an outstanding academic track record in fundamental and applied research with participation in developing innovations. The candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and excellent collaboration skills.

Job duties and projects could include:

As a Research Intern, you will engage in advanced research projects aimed at pushing the boundaries of Generative AI. Your responsibilities will encompass conducting comprehensive literature reviews to identify gaps and opportunities in existing research, designing and implementing complex AI models, and experimenting with novel algorithms. You will work closely with senior researchers to analyze experimental results, refine models, and optimize performance. A significant part of your role will involve drafting and co-authoring research papers for submission to top-tier conferences and journals, contributing to the academic community. Additionally, you will present your findings in internal seminars, collaborate with cross-functional teams, and potentially develop applications that showcase the practical impact of your research.

Past intern projects have included:

• GenAI and LLM research projects
• Privacy AI
• Active learning
• Bias mitigation in AI models