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Software Engineer, Trust and Safety, Tech Enablement

Job in Seattle, King County, Washington, 98127, USA
Listing for: Google Inc.
Full Time position
Listed on 2026-01-16
Job specializations:
  • Software Development
    Software Engineer, AI Engineer
Salary/Wage Range or Industry Benchmark: 166000 - 244000 USD Yearly USD 166000.00 244000.00 YEAR
Job Description & How to Apply Below

Software Engineer, Trust and Safety, Tech Enablement

Kirkland, WA, USA;
Seattle, WA, USA

Mid level

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

Qualifications
  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience with software development in one or more programming languages.
  • 3 years of experience debugging issues relating to hardware, test setup, firmware, and software.
Preferred qualifications
  • Master's degree or PhD in Computer Science or related technical field.
  • 3 years of experience with abuse detection.
  • 3 years of experience with AI algorithms.
  • Experience with Generative AI.
  • Excellent problem-solving skills, with the ability to apply on complex issues.
About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search.

Trust and Safety (T&S) is dedicated to promoting trust in Google and ensuring user safety, and we work to proactively identify and mitigate potential harms across all Google products and services.

The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits.

Responsibilities
  • Scope, design, test, and deploy new features and components that leverage AI to automate and enhance T&S operations, enabling teams to scale their user protection impact efficiently.
  • Troubleshoot and debug issues, ensuring a high-quality user experience.
  • Work across the stack from building AI models, to performing experiments, improving quality, building infrastructure and tools, etc.
  • Collaborate cross-functionally to solve ambiguous, testing, and impactful problems at intersection of technology, automation, user protection, and AI.
  • Participate in code reviews, receive and give constructive feedback to peers.

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 also Google’s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

English proficiency is required for all roles unless otherwise stated.

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