Staff Research Scientist: Generative AI & Scalable ML

Visa; Foster City (CA); On-site; USD 91,000 - 101,000; Part time

Job summary

Visa Research is seeking a PhD candidate for a 12-week internship to advance generative AI and large-scale ML research. You will conduct experiments, build prototypes, and collaborate with engineering and product teams in a dynamic, global environment. The role emphasizes publication, patents, and practical impact.

US applicants only; in-office schedule requires at least three days on site. The position offers a hands-on learning experience in a leading AI research program with opportunities to

Qualifications

• Ph.D. candidate with graduation date in December 2027 or later.
• Publications, patents, presentations, or technical contributions indicate strong research.
• 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.

Responsibilities

• 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.

Skills

Python

C++

Java

Education

Ph.D. candidate with graduation after Dec 2027

Tools

Hadoop

Spark

Job description

Visa Research is seeking a PhD candidate for a 12-week internship to advance generative AI and large-scale ML research. You will conduct experiments, build prototypes, and collaborate with engineering and product teams in a dynamic, global environment. The role emphasizes publication, patents, and practical impact.

US applicants only; in-office schedule requires at least three days on site. The position offers a hands-on learning experience in a leading AI research program with opportunities to