Software Engineer, Android App Security, Content Abuse

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.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

In the Content Abuse Team in Android App Safety Engineering, you will work on core software infrastructure and machine learning models to detect and enforce our policies on malicious apps. This is a critically important problem for Android and Google which will require the use of technology and Artificial Intelligence (AI).

In this role, you will be passionate about this space, care about our child/minor users, be able to balance complex global regulatory and policy criteria and deliver robust technical counter-abuse solutions.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.

Responsibilities:

• Work on core software infrastructure and machine learning models to detect and enforce our policies on malicious apps.
• Work in a fast paced and highly skilled cross-functional team of engineers, product managers, analysts, operations, policy and legal experts. Collaborate with other teams at Google including counter abuse technology team, trust and safety, privacy, etc.
• Deliver high-quality infrastructural software and Machine Learning (ML) models in a rapidly evolving environment.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages (e.g., Python, C++, Go or Java).

Preferred qualifications:

• Master's degree or PhD in Computer Science or a related technical field.
• 2 years of experience with data structures and algorithms.
• Experience or interest working in the Anti-Abuse, Trust and Safety domains.
• Full-stack software engineering experience (e.g., back-end, front-end, and applied ML).
• Interest/experience applying AI/ML and Large Language Models (LLMs) to abuse detection.