Visa Research aims to expand its technology research capabilities globally by exploring and developing technologies critical to the future of the payments industry. The Artificial Intelligence team specifically focuses on unlocking value from financial data to drive innovation in payments through applied research in machine learning and related fields.
Requirements
- AI/Data Analytics: research experience with Deep Learning, Machine Learning, Scalable GenAI, Large Language Model, Advance AI research, and Fine Tuning LLM
- Hands-on experience with large scale model training including data preparation and model parallelization.
- Proficiency with object-oriented programming languages, such as Python, C++, Java or equivalent languages
- Experience with large scale data processing using Hadoop and MapReduce is a plus
Responsibilities
- Design and implement efficient and scalable machine learning/Artificial Intelligence algorithms
- Leveraging large language models in applications, improving them via techniques and find ways to integrate to Visa data
- Improving the workflow of model training and serving, data pipelines and resource management
- Connecting cutting edge academic research with user-facing next generation products
- 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.
Other
- Students pursuing a Ph.D. with a graduation date in December 2026 or later
- Strong communications skills, specifically, the absence of repeated grammatical or typographical errors, clear and concise written and spoken communications that demonstrate professional judgment.
- A track record of strong research results as demonstrated by papers in reputed journals and conference proceedings, patents, and presentations at conferences
- Strong verbal and written communication skills and an eagerness to collaborate with members of your team as well as other Visa teams.
- Demonstrated ability to think outside the box and innovate.
