Senior Engineering Analyst, AI Answers, Google Search

Google; Seattle (WA); On-site; USD 159,000 - 230,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) matching

Paid time off 20 days

Job summary

Google’s Trust and Safety team in Seattle seeks a Senior Engineering Analyst/Tech Lead to architect and scale automated safety evaluation for next‑generation generative AI products. You will lead the transition from bespoke scripts to high‑throughput autoraters powering real‑time launch decisions.

You will collaborate with Product, Search Core, and GDM engineers to align technical roadmaps, enforce safety guardrails, and drive robust AI integrity across critical domains with sub‑100ms response

Qualifications

• 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, with a focus on signal analysis, model development, data analysis, and cyber security.
• Experience programming in one or more languages (e.g., SQL, Python, or Golang).

Responsibilities

• Establish metrics and benchmark Generative-AI issues; quantify improvements across products.
• Drive project delivery; manage interdependent projects of moderate to high complexity.
• Improve tools through data analysis and presentations to stakeholders; identify automation opportunities.
• Design, develop, and scale production-grade LLM-as-a-judge autoraters and evaluation systems for real-time decisions.
• Coordinate with Product, Search Core, and GDM engineering teams to align roadmaps and risk registers.

Skills

Data analysis

Anti-abuse

SQL

Python

Golang

Education

Bachelor's degree

Job description

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Seattle, WA, USA; Atlanta, GA, USA; Austin, TX, USA; Kirkland, WA, USA; Washington D.C., DC, USA.

Minimum qualifications

• 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, with a focus on signal analysis, model development, data analysis, and cyber security.
• Experience programming in one or more languages ("e.g., SQL, Python, or Golang").

Preferred qualifications

• Experience performing fraud/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 ML reputation models.
• Strong problem-solving, critical thinking, and communication skills with the ability to influence cross-functional stakeholders and senior leadership.
• Development of 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.

About The Job

At Google, we work hard to earn our users’ trust every day. Our team’s mission in Trust and Safety is to partner with model and product teams to deliver trusted and helpful generative AI experiences with velocity. As deep experts in the trust and safety and responsible AI space, we deliver on our mission by defining product safety strategy, providing holistic insights on risks and opportunities and analyzing mitigations to drive strategic decisions. We serve as the Trust and Safety “front door” for product and model teams to coordinate cross-functional expertise and inputs to achieve fast, impactful results. 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 powering next-generation generative AI products. You will own the transition from bespoke evaluation scripts to high-throughput, low-latency LLM-as-a-judge autorater infrastructure supporting continuous offline testing and real-time launch decisions. Your role demands both deep technical acumen and a strong passion for GenAI integrity and AI abuse. In this role, you will act as a leader across critical, high-scrutiny domains—including Health (YMYL clinical accuracy), Civics and Elections (misinformation and electoral integrity), and AI Ecosystem —ensuring our models operate with authoritative consensus, robust safety guardrails, and sub-100ms enforcement mitigations.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $159000 - $230000 (USD) + 15% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

• Help to establish metrics, benchmarking Generative-AI issues and quantify improvements. Develop datasets and run evals for engineers to evaluate and improve Search, Labs and Assistant products. This role works with sensitive content and may be exposed to graphic, controversial, or upsetting content.
• 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 via process improvements and identification of automation opportunities.
• Design, develop, and scale production-grade LLM-as-a-judge autoraters and automated evaluation systems to run real-time launch decisions and continuous regression testing across core verticals.
• Partner directly with Product, Search Core, and GDM engineering teams to drive alignment on technical roadmaps, integrations and cross-product risk registers.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.