Staff Machine Learning Scientist, Intern - PhD

---

Job description

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 driven AI/ML initiatives 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 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:

Design and implement efficient and scalable machine learning algorithms.

Integrate data processing and training pipelines with big data infrastructure.

Develop proof-of-concept prototypes with fast iteration and experimentation.

Develop and maintain software design documentation, test cases, and performance evaluation.

Works within an agile software engineering methodology and collaborative team development architecture.

Deliver high-impact intellectual property values through research publications and patents

Collaborate with team members to deliver innovative technologies, insights and products to Visa business units to resolve their significant product pain-points and create new growth opportunities

Work with team members and cross-functional teams (internal/external) that include representation from Technology, Product, Operations, Market Research, etc.

Past intern projects have included:

Learning to super-learn: meta-learning for imbalanced task

Deep Reinforcement Learning: FX Trading and Confidence Modelling

GAI for transaction decisioning

Multi-task In-Context Learning with transaction data

Effective LLM fine-tuning: LLM pruning and combating catastrophic forgetting

High dimensional time series prediction

<!– job description page –>