Software Engineer, Trust and Safety, Technology and Innovation Engineering

Google

Town of Montana (WI)

On-site

USD 174,000 - 252,000

Full time

5 days ago
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Benefits offered by this job

Health insurance
Dental insurance
Vision insurance
Life insurance
Disability insurance
401(k) match
Paid time off
Sick leave
Maternity leave
Baby bonding leave
Holidays

Job summary

Google's software engineers develop next-generation technologies that scale for billions of users. As a software engineer, you will work on a project essential to Google’s needs, with opportunities to switch teams as the business grows and evolves.

Trust and Safety (T&S) works to promote user trust and safety at scale, defending platforms through AI-enabled systems and cross-functional partnerships. This mid-level role is based in Kirkland, WA, with competitive pay and benefits.

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 5 years of experience designing and implementing large-scale distributed systems.
  • 3 years of experience architecting distributed systems, infrastructure, or agentic systems.
  • Experience building and deploying agentic AI systems.

Responsibilities

  • Scope, design, test, and deploy new features and components that leverage AI to automate and enhance trust and safety 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 the intersection of technology, automation, user protection, and AI.
  • Participate in code reviews, receive and give constructive feedback to peers.

Skills

Distributed systems experience
Architecting distributed systems
Agentic AI systems experience

Education

Bachelor's degree or equivalent

Job description

Software Engineer, Trust and Safety, Technology and Innovation Engineering

Location: Kirkland, WA, USA

Experience Level: Mid

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

Benefits
  • 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 with designing and implementing large-scale distributed systems.
  • 3 years of experience architecting distributed systems, infrastructure, or agentic systems.
  • Experience building and deploying agentic AI systems.
Preferred Qualifications
  • Master's degree or PhD in Computer Science or a 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. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design, and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities, and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

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. Our team takes a strategic and scalable approach to helping Google stay ahead of attackers and strives to deliver trusted and safe experiences to all users.

We are a global team of experts, including technical analysts, data scientists, policy specialists, and data engineers, who collaborate with cross-functional partners across the company to defend our platforms. Our work is mission-critical, ensuring the safety and security of billions of users, developers, creators, advertisers, and other customers. We drive responsible innovation and are the industry's leading abuse fighters.

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

US Salary Range

$174,000 - $252,000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities
  • Scope, design, test, and deploy new features and components that leverage AI to automate and enhance trust and safety 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 the intersection of technology, automation, user protection, and AI.
  • Participate in code reviews, receive and give constructive feedback to peers.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate 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 also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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.

Locations

Kirkland, WA, USA

Experience

Mid

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

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