The Mercor Research Fellowship offers an opportunity to propose and develop innovative benchmark evaluation techniques or economic studies focused on AI's impact in various professional domains.
As an Applied ML Scientist, you will develop and maintain fraud detection models while advancing SentiLink's financial risk products through hands-on machine learning applications.
As an Applied Scientist at SentiLink, you will develop and maintain fraud detection models and contribute to innovative financial risk products using machine learning.
Role: As a Quantitative Researcher at SentiLink, you will build our core products: models that identify fraudsters and also advance our growing suite of products in financial risk.
As a Quantitative Scientist at SentiLink, you will develop fraud detection models and advance financial risk products, applying machine learning in a real-world setting.
