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Senior Engineering Analyst, Trust and Safety, RAI Testing, Scaled Testing

Google

Washington D.C., DCJob$159–230K/yrSeen 1w agoSeen in employer's feed 4 days ago

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At a glance

Compensation
$159–230K/yr
Location
Washington D.C., DC
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The Senior Engineering Analyst will lead technical work in Google’s Trust and Safety Responsible AI Testing organization, bridging DeepMind, Product Area engineering, and Trust and Safety. The role focuses on building evaluation infrastructure, scaling automated safety testing, and mentoring Engineering Analysts. The SCALE team operationalizes domain expertise into automated pipelines, launch frameworks, and continuous monitoring for generative AI models and product surfaces.

Skills & qualifications

RequiredNice to have

Skills

Data AnalysisProject ManagementSQLRPythonC++Machine Learning SystemsWritten CommunicationVerbal Communication

Qualifications

Bachelor's Degree or Equivalent Practical Experience5 Years Data Analysis Experience5 Years Project Management ExperienceMaster's Degree in Quantitative Discipline5 Years Language Experience or Familiarity5 Years Machine Learning Experience or FamiliarityEnglish Proficiency

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Match
Paid Time Off
Parental Leave

Full job description

Senior Engineering Analyst, Trust and Safety, RAI Testing, Scaled Testing

Share Senior Engineering Analyst, Trust and Safety, RAI Testing, Scaled Testing

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Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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info_outline

XIn 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

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 managing projects and defining project scope, goals, and deliverables.

Preferred qualifications:

  • Master's degree in a quantitative discipline.

  • 5 years of experience or familiarity with one or more of the following languages: SQL, R, Python, or C++.

  • 5 years of experience or familiarity with machine learning systems.

  • Excellent written and verbal communication skills.

About the job

Trust and Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what’s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety.

Within Trust and Safety’s (T&S) Responsible AI (RAI) Testing organization, the SCALE (Scaled Automation and Launch Enablement) team drives safety evaluations, scalability, and automation across Google’s generative AI models and product surfaces while maintaining a quality bar. We partner closely with Subject Matter Experts across Trust and Safety (including Novel Testing, Policy Standards, and Child Safety), DeepMind (GDM), and Product Area engineering to operationalize domain expertise—translating complex, manual 0-to-1 testing paradigms into repeatable 1-to-N automated pipelines, self-service launch frameworks, and continuous monitoring systems.

As a Senior Engineering Analyst, you will serve as an organizational technical leader working with minimal direction to bridge GDM, Product Area engineering, and Trust and Safety—architecting end-to-end evaluation infrastructure and mentoring Engineering Analysts across the team.

At Google we work hard to earn our users’ trust every day. Trust and Safety is Google’s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google’s products, protecting our users, advertisers, and publishers across the globe in over 40 languages.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

Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .

Responsibilities

  • Drive the multi-quarter T&S RAI SCALE technical roadmap, establishing North Star metrics and automated governance to accelerate launch velocity.

  • Graduate high-risk 0-to-1 evaluations (multi-turn, agentic, frontier safety) into automated 1-to-N pipelines on Google launch platforms.

  • Partner with GDM and PAs on gap analyses, establish statistical standards, and scale high-precision LLM-as-a-judge autoraters.

  • Architect unified data pipelines and telemetry linking pre-launch testing and post-launch monitoring to executive risk attestations.

  • Act as the technical authority on ambiguous GenAI safety issues, align executive leaders, and mentor Engineering Analysts. Work with sensitive content or situations and may be exposed to graphic, controversial, or upsetting topics or content.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .

If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.

How this job compares

Set against the 5,451 open Data Analyst jobs on Olive Jobs, counted November 2, 2026.

Pay
  • This posting$159–230K/yr
  • Washington, D.C. median$90–141K/yr79 salary ranges
  • US median$88–132K/yr3,426 salary ranges

This range's midpoint, $195K, is 64% above the Washington, D.C. median midpoint ($119K) — in the top quarter of Data Analyst salary ranges in Washington, D.C..

Openings
Olive Jobs lists 103 open Data Analyst jobs in Washington, D.C. and 5,451 across the US. 7% of them nationwide are listed as remote or flexible.
Hiring the most in Washington, D.C.
Experience
This posting asks for at least 5 years of experience; Data Analyst postings that state a minimum ask for 4 years at the median (4,130 postings).
Education
2,314 of the 5,451 open Data Analyst jobs (42%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 2, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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