Senior Engineering Analyst, GenAI Trust & Safety

Google

Washington (District of Columbia)

On-site

USD 159,000 - 230,000

Full time

9 days ago
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Benefits offered by this job

Health insurance
401(k) with company match
Paid time off - 20 days/year
Sick time - 40 hours/year
Maternity leave - 28-30 weeks
Baby Bonding Leave - 18 weeks
Holidays - 13 paid days

Job summary

Google is seeking a Senior Engineering Analyst/Tech Lead in Trust and Safety SAGE to lead automated safety evaluation platforms powering next‑gen generative AI products. You will shepherd the transition to high-throughput autoraters, enabling real-time launch decisions with sub-100ms enforcement, while managing critical domains like Health, Civics, Elections, and AI Ecosystem.

You will collaborate with engineering and product teams to define safety strategy, drive scalable solutions, and ensure

Qualifications

  • Bachelor's degree or equivalent practical experience required.
  • 5 years of experience in data analysis and drawing insights from quantitative and qualitative data.
  • 5 years in the anti-abuse domain with signal analysis, model development and cybersecurity.
  • Experience programming in SQL, Python, or Golang.

Responsibilities

  • Establish metrics and benchmarks for Generative-AI issues and quantify improvements.
  • Drive project delivery, challenge proposals, and identify risks across mid-to-high complexity projects.
  • Improve tools and workflows through data analysis and stakeholder presentations; identify automation opportunities.
  • Design, develop, and scale production-grade LLM-as-a-judge autoraters and automated evaluation systems for real-time decisions.
  • Collaborate with Product, Search Core, and GDM teams to align technical roadmaps and risk registers.

Skills

Data analysis
Fraud/abuse investigations
Policy development
Cross-functional collaboration

Education

Bachelor's degree or equivalent

Tools

SQL
Python
Golang

Job description

Google is seeking a Senior Engineering Analyst/Tech Lead in Trust and Safety SAGE to lead automated safety evaluation platforms powering next‑gen generative AI products. You will shepherd the transition to high-throughput autoraters, enabling real-time launch decisions with sub-100ms enforcement, while managing critical domains like Health, Civics, Elections, and AI Ecosystem.

You will collaborate with engineering and product teams to define safety strategy, drive scalable solutions, and ensure

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