Software Engineer, Trust and Safety

About the role

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: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

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.