Engineering Analyst, Trust and Safety Search

Google is a global technology leader that specializes in internet-related services and products.
Security
Entry-Level Software Engineer
In-Person
AI · Cybersecurity

Description For Engineering Analyst, Trust and Safety Search

Google's Trust & Safety team is at the forefront of protecting users and partners from abuse across Google products. As an Engineering Analyst in Trust and Safety Search, you'll be part of a diverse team working to make the internet safer. You'll develop expertise in Search infrastructure and contribute to content safety evaluation using Large Language Models. Your responsibilities include designing sampling approaches, creating rating templates, and implementing product metrics to improve user trust. This role requires excellent problem-solving skills and the ability to work cross-functionally with engineers and product managers. You'll be instrumental in fighting abuse and fraud at Google speed, ensuring the highest levels of user safety across products like Search, Maps, Gmail, and Google Ads. If you're passionate about using technical know-how to protect users and promote trust in Google, this role offers an exciting opportunity to make a significant impact in the field of online safety and integrity.

Last updated 2 months ago

Responsibilities For Engineering Analyst, Trust and Safety Search

  • Develop domain knowledge in Search infrastructure, ranking signals, and products
  • Develop rating templates for evaluating and measuring content safety working with images, videos, pages, and queries
  • Contribute to prompt-based Large Language Models that can evaluate content safety according to our product policies
  • Design and implement product metrics to benchmark user trust risks and track improvements over time
  • Create datasets for engineers to evaluate and improve sensitive content classifiers

Requirements For Engineering Analyst, Trust and Safety Search

Python
  • Bachelor's degree or equivalent practical experience
  • Experience in designing sampling approaches and using statistical analysis for making product recommendations

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