Bachelor’s degree or equivalent practical experience.
1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
1 year of experience with data structures or algorithms.
1 year of experience with full stack development, across back-end such as Java, Python, GO, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.
Nice to haves:
Experience in the adversarial space, fraud detection, or other anti-abuse domains.
Experience developing and deploying machine learning models, deep learning or natural language processing techniques.
What you'll be doing:
Identify data sources and design signals to detect threats, contributing to the formulation of enhanced protection strategies.
Optimize signal generation processes, including identifying and resolving performance issues to ensure scalability.
Analyze and enhance machine learning models for abuse prevention and detection.
Build knowledge in emerging abuse trends, designing, implementing, and testing innovative strategies.
Perks and benefits:
Google is an equal opportunity and affirmative action employer.
Work on projects critical to Google’s needs with opportunities to switch teams and projects.
Opportunity to impact important technical decisions across the company.