Bachelor's degree or equivalent practical experience.
7 years of experience in data analytics, Trust and Safety, policy, cybersecurity, or related fields.
Preferred qualifications:
4 years of experience in abuse analytics, Trust and Safety, policy, cybersecurity, or related fields.
Experience using statistical analysis and hypothesis testing.
Experience analyzing Machine Learning (ML) models performance or working on LLMs.
Excellent written, verbal, and interpersonal communication skills to communicate with multiple cross-regional and cross-functional stakeholders.
Responsibilities
Spearhead high-impact, multi-quarter projects that build critical trust protections into Google News and third-party content ecosystems, used by millions worldwide
Collaborate with Product, Policy, Legal, and Engineering teams to develop cutting-edge solutions for user safety. Deep-dive into trust issues specific to news and content surfaces, providing valuable insights and data-driven analysis for informed decision-making
Identify and address product vulnerabilities, continuously improving our systems to combat evolving abuse trends. Embrace cutting-edge technologies like Large Language Models (LLM) to enhance our ability to fight abuse and misinformation at scale.
Continuously refine our enforcement workflows, leveraging automation including LLMs and your sharp investigative skills to streamline processes and maximize efficiency.
Review and assess content that may be controversial, offensive, or sensitive. You will perform on call responsibilities on a rotating basis including weekends as needed.