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Software Engineer, Mobile Threat Analysis Platform, AI/ML

Google

$141,000 - $202,000
Sep 12, 2025
Atlanta, GA, US
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Google is looking to solve the problem of detecting malicious and abusive apps on its Play and Android platforms, and to develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another.

Requirements

  • 2 years of experience with software development in one or more programming languages
  • 2 years of experience with Applied Machine Learning (ML), including the development and deployment of models
  • 2 years of experience with performance, systems data analysis, visualization tools, or debugging
  • 2 years of experience with data structures or algorithms in either an academic or industry setting
  • Experience designing, building, and launching scalable ML systems, with a focus on areas like Natural Language Processing (NLP), Multimodal AI, or Knowledge Graphs
  • Knowledge of application security, malware analysis, trust and safety, or privacy domains
  • Experience with information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile

Responsibilities

  • Write product or system development code, including the development and productionization of advanced NLP and multimodal Large Language Models (LLM) models.
  • Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
  • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
  • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
  • Develop and deploy models using Applied Machine Learning (ML)
  • Design, build, and launch scalable ML systems, with a focus on areas like Natural Language Processing (NLP), Multimodal AI, or Knowledge Graphs.

Other

  • Bachelor’s degree or equivalent practical experience
  • Master's degree or PhD in Computer Science or related technical field
  • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree
  • Must be willing to work in the US
  • Google is an equal opportunity employer and is 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