Software Engineer, Android App Security, Content Abuse

Google

Singapore

On-site

SGD 120,000 - 180,000

Full time

8 days ago
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Job summary

Google is seeking software engineers to join the Android App Safety Engineering Content Abuse Team. You will develop core software infrastructure and ML models to detect and enforce policies on malicious apps, while collaborating with engineers, PMs, analysts, and policy experts.

This role involves handling large-scale systems, AI/ML, and counter-abuse solutions across Android. You will balance global regulatory criteria and deliver robust technical protections for users worldwide.

Qualifications

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience with software development in one or more programming languages.
  • Experience or interest working in the Anti-Abuse, Trust and Safety domains.
  • Full-stack software engineering experience (back-end, front-end, applied ML).
  • Interest/experience applying AI/ML and Large Language Models (LLMs) to abuse detection.

Responsibilities

  • Work on core software infrastructure and machine learning models to detect and enforce policies on malicious apps.
  • Collaborate with a fast-paced cross-functional team of engineers, product managers, analysts, operations, policy and legal experts.
  • Deliver high-quality infrastructural software and ML models in a rapidly evolving environment.

Skills

Programming languages
Python
C++
Go
Java

Education

Bachelor's degree
Master's degree

Job description

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.

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.
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.

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.

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 .

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