Software Engineer, Machine Learning, App Safety Engineering

3 days ago

Mountain View, California, United States Google Full time $141,000 - $202,000
Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
  • 2 years of experience with machine learning/AI.
Preferred qualifications:
  • Master's degree or PhD in Computer Science or related technical fields.
  • 2 years of experience with data structures or algorithms.
  • Experience in large-scale system development.
  • Experience with machine learning/AI.
  • Security background.
About the job:

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. Learn more about benefits at Google.

Responsibilities:
  • 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.

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