Senior Engineering Analyst, AI Answers, Google Search

Google•Washington, DC

3d•$159,000 - $230,000

About The Position

As a Senior Engineering Analyst/Tech Lead within Trust and Safety SAGE, you will lead the architecture and scaling of automated safety evaluation and enforcement platforms for next-generation generative AI products. You will help transition bespoke evaluation scripts to high-throughput, low-latency LLM-as-a-judge autorater infrastructure that supports continuous offline testing and real-time launch decisions. The role calls for deep technical expertise and a strong interest in GenAI integrity and AI abuse. You will lead work across high-scrutiny domains, including Health (YMYL clinical accuracy), Civics and Elections (misinformation and electoral integrity), and the AI ecosystem, helping ensure models use authoritative consensus, robust safety guardrails, and sub-100ms enforcement mitigations. The team partners with model and product teams to deliver trusted and helpful generative AI experiences, define product safety strategy, assess risks and mitigations, and coordinate cross-functional expertise. The position works with sensitive content and may involve exposure to graphic, controversial, or upsetting material. Individual pay depends on job-related skills, experience, and relevant education or training. The stated US compensation is $159,000–$230,000 USD, plus a 15% bonus target, equity, and benefits.

Requirements

Bachelor’s degree or equivalent practical experience.
5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
5 years of experience in the anti-abuse domain, focused on signal analysis, model development, data analysis, and cybersecurity.
Experience programming in one or more languages, such as SQL, Python, or Golang.

Nice To Haves

Experience performing fraud or abuse investigations, risk management, security, and threat analysis for communication products.
Technical and product experience with end-to-end encrypted communication products and anti-abuse messaging solutions.
Proficiency in large-scale data analysis, tools, and processes for building machine-learning reputation models.
Strong problem-solving, critical-thinking, and communication skills, with the ability to influence cross-functional stakeholders and senior leadership.
Experience developing policy and enforcement models focused on actor- and behavior-level strategies to identify and prevent harmful patterns, and privacy- and safety-focused product design protections.

Responsibilities

Establish metrics, benchmark generative AI issues, and quantify improvements.
Develop datasets and run evaluations for engineers to evaluate and improve Search, Labs, and Assistant products.
Use technical judgment to drive project delivery, challenge proposals, and identify risks.
Manage interdependent projects of moderate to high complexity against crashed timelines.
Improve tools through data analysis, technical expertise, and presentations to key stakeholders.
Enhance operational workflows through process improvements and identification of automation opportunities.
Design, develop, and scale production-grade LLM-as-a-judge autoraters and automated evaluation systems for real-time launch decisions and continuous regression testing across core verticals.
Partner with Product, Search Core, and GDM engineering teams to align on technical roadmaps, integrations, and cross-product risk registers.