Senior Software Engineer, Android Developer Identity/Developer Risk

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in Java.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience with Big Data technologies, analytic warehousing technologies, data processing technologies, and performance and scalability optimizations.
  
• 3 years of API Design and Development.

Preferred qualifications:

• 5 years of experience with data structures/algorithms.
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
  
• Experience in AI, Data Science or Machine Learning.
• Experience in mobile development.
• Experience with risk management or anti-fraud.

About the job:

Google's software engineers develop the 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.

On our team, you’ll have a large impact and will be able to influence the direction for key strategic priorities for Android and Google.

Your work will be at the intersection of systems, full-stack engineering, feature engineering and data science. The area is ever-evolving due to the adversarial nature of abusers, who would constantly come up with new strategies to bypass our protections, and we are moving fast and need to regularly come up with innovative new ideas to adapt to new trends and threats.

Your work will be visible, meaningful, and impactful to the end users. You have the opportunity to make a real difference in the user experiences and help improve the Google and Android brand reputation.

Android is Google’s open-source 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 $166,000-$244,000 + 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:

• Design and build developer information collection and verification capabilities to understand Android developers better. This often includes integration with other Google systems (e.g., Ads, Payment, Play Console). 
• Explore and identify useful signals and patterns that can differentiate abusers from a legitimate Android developer.
• Leverage rule logic and build end-to-end machine learning systems for developer integrity and risk management, involving data collection, storage, feature engineering, model training and serving on Google production data.
• Work with many teams across Google to take on abuse problems together, including but not limited to Android platform, trust and safety, responsible feature access, identity, graph mining, and trust graph.
  
• Leverage latest ML technologies to provide accurate predictions, while continuously adapting to every changing adversarial pattern.