Google's software engineers develop next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. In this role, you will be instrumental in building resilient, industry-leading defenses against the scale and sophistication of automated and distributed spam attacks targeting Google's ads ecosystem. This is a unique opportunity to engage in a challenging and constantly evolving adversarial environment with significant impact and the satisfaction of contributing to a more trustworthy digital world.
Requirements
- 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
- 1 year of experience building software for data privacy or security (e.g., identity and access management).
- 1 year of experience with data structures or algorithms.
- Experience in backend coding languages such as GOLang, Rust, or Java.
- Experience in ML model coding languages (e.g., Python).
- Experience developing accessible technologies.
- Experience working with software security.
Responsibilities
- Work cross-functionally with Google research teams to influence and apply state-of-the-art ML technologies in fraud detection.
- Build statistical and ML models to automate spam detection and filtering.
- Instrument Google ads products to collect traffic signals for building robust and privacy-friendly anomaly detection.
- Establish ground-truth and dissect botnet workflow through traffic analysis and reverse engineering.
Other
- Bachelor’s degree or equivalent practical experience.
- Master's degree or PhD in Computer Science or related technical field.
- Stay up-to-date on industry trend and emerging threats and build new initiative and road map to defend Google's ads ecosystem.
- Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
