Senior GenAI Safety & Evaluation Engineer

Google

United States

On-site

USD 159,000 - 230,000

Full time

13 days ago
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Benefits offered by this job

Health insurance
Dental insurance
Vision insurance
Life insurance
Disability insurance
401(k) match
Paid time off
Sick time

Job summary

Google is seeking a Senior Engineering Analyst in Trust and Safety SAGE to lead automated safety evaluation platforms powering next-gen generative AI products. You will transition from bespoke scripts to high-throughput autoraters, enabling real-time launch decisions and offline testing with robust safety guardrails.

You will tackle challenges in health, civics, and AI ecosystem safety, analyzing risks and influencing cross-functional partners while maintaining high standards of integrity and

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 5 years of experience in data analysis, identifying trends, statistics, and insights.
  • 5 years of experience in the anti-abuse domain focusing on signal analysis, model development, data analysis, and cybersecurity.
  • Experience programming in SQL, Python, or Golang.

Responsibilities

  • Establish metrics and benchmark Generative-AI issues; develop datasets and run evals for engineers.
  • Drive project delivery with technical judgment and manage interdependent projects of moderate to high complexity.
  • Improve tools via data analysis and stakeholder presentations; enhance workflows through automation opportunities.
  • Design, develop, and scale production-grade LLM-as-a-judge autoraters and evaluation systems for real-time decisions.
  • Partner with Product, Search Core, and GDM engineering teams to align on technical roadmaps and risk registers.

Skills

Data analysis
Anti-abuse domain
Programming
Mentoring

Education

Bachelor's degree or equivalent

Tools

SQL
Python
Golang

Job description

Google is seeking a Senior Engineering Analyst in Trust and Safety SAGE to lead automated safety evaluation platforms powering next-gen generative AI products. You will transition from bespoke scripts to high-throughput autoraters, enabling real-time launch decisions and offline testing with robust safety guardrails.

You will tackle challenges in health, civics, and AI ecosystem safety, analyzing risks and influencing cross-functional partners while maintaining high standards of integrity and

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