Protect Google's users by increasing the coverage, accuracy, and speed of Safe Browsing enforcement systems; understanding the global threat environment for scams, phishing, malware, and unwanted software; and working on the user experience internally and externally, by communicating with webmasters, users, and partners. The Trust & Safety team at Google fights abuse and ensures user trust across all Google products.
Requirements
- Experience in one or more of the following: querying and analyzing datasets (e.g., SQL, MapReduce), statistical analysis (e.g., R, Stata, SAS) or data related programming (e.g., Python, C/C++).
- Experience in one or more of the following areas: Statistical analysis and Machine Learning libraries (e.g., R, Tensorflow), Programming languages (e.g., Python), Large Language Models (LLMs) or Generative Artificial Intelligence (AI).
- Knowledge of how the internet works economically, socially, and technically; with fraud detection, security, phishing, malware, or a related topics.
- Ability to communicate technical concepts.
- 2 years of experience with analyzing datasets within abuse/fraud detection or web security research.
Responsibilities
- Perform data analysis to identify harmful entities, design and implement performance metrics, examine trends, and identify system vulnerabilities.
- Analyze malicious websites to understand their behavior and impact on users.
- Embrace technologies like Large Language Models (LLMs) to enhance the ability to fight abuse and phishing.
- Collaborate with Engineering and Product teams to create and enhance tools, develop signals, improve system functionality, accuracy and efficiency.
- Lead projects through the full project lifecycle that require cross-functional stakeholder management.
- querying and analyzing datasets (e.g., SQL, MapReduce)
- statistical analysis (e.g., R, Stata, SAS) or data related programming (e.g., Python, C/C++)
Other
- Work with sensitive content or situations which may be exposed to graphic, controversial or upsetting topics or content.
- Ability to prioritize stakeholder demands, managing multiple responsibilities in a changing environment.
- Excellent problem-solving and thinking skills with attention to detail in a changing environment.
- Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, Economics, a related technical field, or equivalent practical experience.
- Master's degree in Computer Science, Mathematics, Statistics, Analytics, or a related technical field.
