Machine Learning Engineer

Sardine, a leading fraud prevention and AML compliance platform, is seeking a Machine Learning Engineer to lead the evolution of their device intelligence and fingerprinting systems. The company has raised $145M from prestigious investors including Andreessen Horowitz, Activant, Visa, and Google Ventures. This remote-first position offers an opportunity to work on groundbreaking projects that directly impact fraud prevention and security for millions of users.

The role combines software engineering expertise with machine learning, focusing on developing sophisticated algorithms and backend services using Go (Golang) to process and analyze device data. The ideal candidate will have 5+ years of software engineering experience, strong ML background, and proficiency in tools like PyTorch and Scikit-learn.

Working at Sardine means joining a globally distributed team with hubs in the Bay Area, NYC, Austin, and Toronto. The company values performance over hours worked and offers a flexible work environment that respects work-life balance. The compensation package includes a competitive base salary of $180,000-$220,000, equity with significant upside potential, and comprehensive benefits including health insurance, 401k matching, and various stipends for professional development and wellness.

This is an excellent opportunity for a skilled engineer who wants to make a meaningful impact in the fintech security space while working with cutting-edge technology and a talented, diverse team. The position offers both technical challenges and the satisfaction of protecting hundreds of banks, retailers, and fintechs from fraud and security threats.