Engineering Analyst, Trust and Safety, AI Safety
Company: Google
Location: Kirkland
Posted on: April 1, 2026
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Job Description:
info_outline X 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
(statutory, where applicable); 5 days/event (discretionary)
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. 2 years of experience in data analysis, including
identifying trends, generating summary statistics, and drawing
insights from quantitative and qualitative data. 2 years of
experience managing projects and defining project scope, goals, and
deliverables. Preferred qualifications: Master's degree in a
quantitative discipline. 2 years of experience or familiarity with
one or more of the following languages: SQL, R, Python, or C++. 2
years of experience or familiarity with machine learning systems.
Excellent written and verbal communication skills. Excellent
problem-solving and critical thinking skills with attention to
detail in an ever-changing environment. About the job Trust &
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. The AI
Safety Protections team within Trust and Safety develops and
implements AI/LLM-powered solutions to ensure the safety of
generative AI across Google's products. This includes safeguards
for consumer products, enterprise offerings, on-device
applications, and foundational models in collaboration with Google
DeepMind. As a member of our team, you'll have the opportunity to
apply the latest advancements in AI/LLM, work with teams developing
AI technologies, and protect the world from real-world harms. This
role works with sensitive content or situations and may be exposed
to graphic, controversial, and upsetting topics or content. At
Google we work hard to earn our users’ trust every day. Trust &
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. The US base salary range for this full-time position is
$132,000-$189,000 bonus equity benefits. Our salary ranges are
determined by role, level, and location. Within the range,
individual pay is determined by work location and additional
factors, including job-related skills, experience, and relevant
education or training. Your recruiter can share more about the
specific salary range for your preferred location during the hiring
process. Please note that the compensation details listed in US
role postings reflect the base salary only, and do not include
bonus, equity, or benefits. Learn more about benefits at Google .
Responsibilities Develop scalable safety solutions for AI products
across Google by leveraging advanced machine learning and AI
techniques. Apply statistical and data science methods to
thoroughly examine Google's protection measures, uncover potential
shortcomings, and develop actionable insights for continuous
security enhancement. Partner with stakeholders to define key
objectives, formulate relevant questions, and establish robust
methodologies for extracting critical insights from data to address
complex challenges. Drive business outcomes by crafting compelling
data stories for a variety of stakeholders, including senior
leadership. Develop automated data pipelines and self-service
dashboards to provide timely insights at scale.
Keywords: Google, Kirkland , Engineering Analyst, Trust and Safety, AI Safety, IT / Software / Systems , Kirkland, Washington