Senior Machine Learning Engineer - Fraud (Research Scientist)

Tech Stack

Responsibilities

• Build next-generation fraud detection capabilities by researching and prototyping state-of-the-art methods across graph ML, sequential modeling, and multimodal learning.
• Own a research roadmap that ships: moving from papers/prototypes to measurable product impact.
• Publish applied research and collaborate with a high-caliber team across Data, Product, and Engineering.
• Work with one of the largest financial datasets to generate insights that help hundreds of millions of consumers achieve greater financial freedom.

Benefits

• Health Insurance

Culture

Requirements