1 day ago
Singapore, SingaporeMid Level
Responsibilities
- Build and maintain core software infrastructure and machine learning models to detect malicious apps and enforce policies.
- Design, develop, test, deploy, maintain, and enhance software solutions.
- Deliver high-quality infrastructure software and machine learning models in a rapidly evolving environment.
- Collaborate with cross-functional engineering, product, analytics, operations, policy, legal, trust and safety, privacy, and counter-abuse teams.
- Balance complex global regulatory and policy criteria while developing technical counter-abuse solutions.
Requirements
- Bachelor's degree or equivalent practical experience.
- At least 2 years of software development experience in one or more programming languages such as Python, C++, Go, or Java.
- Preferred: master's degree or PhD in Computer Science or a related technical field.
- Preferred: 2 years of experience with data structures and algorithms.
- Preferred: experience or interest in Anti-Abuse, Trust and Safety domains.
- Preferred: full-stack software engineering experience across back-end, front-end, and applied ML.
- Preferred: interest or experience applying AI/ML and Large Language Models to abuse detection.
About Google
Google builds consumer and enterprise software and services including Search, Android, YouTube, Chrome, Maps, Gmail, and Google Cloud. Its business model centers on digital advertising and paid cloud, software, and hardware offerings (e.g., Pixel and Nest) for consumers, developers, and organizations. Founded in 1998 and headquartered in Mountain View, California, Google operates globally as a subsidiary of Alphabet Inc.