Software Engineer, Machine Learning, App Safety Engineering

Software Engineer, Machine Learning, App Safety Engineering

In this role, you will provide solutions for large-scale detection and enforcement against malicious and abusive code developed by adapting malware adversaries. We protect users from malware and app abuse and cover Google Play, side-loaded apps in global Android devices and apps that are pre-loaded into devices.

Android is Google's mobile operating system powering more than 3 billion devices worldwide. Android is about bringing computing to everyone in the world. We believe computing is a super power for good, enabling access to information, economic opportunity, productivity, connectivity between friends and family and more. We think everyone in the world should have access to the best computing has to offer. We provide the platform for original equipment manufacturers (OEMs) and developers to build compelling computing devices (smartphones, tablets, TVs, wearables, etc) that run the best apps/services for everyone in the world.

The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.

Develop and deploy AI-powered systems to identify malicious Android apps and/or improve operational efficiency & prioritization systems.

Extract relevant characteristics (e.g., code structure, API calls, network behavior) from files for model input.

Select, train, and optimize rule-based or ML-based to learn patterns indicative of malware.

Test model performance and integrating it into large-scale detection systems.

Monitor, update, and enhance models against evolving threats and adversarial evasion techniques to ensure ongoing effectiveness in protecting against evolving attacks.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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