Lead Technical Analyst, Workspace AI, Trust and Safety

Job description

Minimum qualifications: - Bachelor's degree or equivalent practical experience. - 7 years of work experience in data analysis, security threat detection, or abuse investigation. - Experience in one or more programming languages (e.g., Python, SQL, Go, C++, Java), or with Machine Learning, Anomaly Detection, or AI models. Preferred qualifications: - Master's degree or PhD in a technical field. - Experience building and deploying anti-abuse systems at the scale of Google Cloud or Workspace. - Experience in exploratory data analysis and statistical analysis with a track record of identifying non-obvious patterns in datasets. - Ability to navigate ambiguity and solve problems in the AI safety domain. - Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment. - Excellent written and verbal communication skills, with the ability to articulate technical safety concerns to executive leadership. About the job: Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and...