Software Engineer, Trust and Safety, Tech Enablement

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

Note:

By applying to this position you will have an opportunity to share your preferred working location from the following:
Kirkland, WA, USA;
Seattle, WA, USA

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 5 years of experience in software engineering or related technical fields.
• 3 years of experience debugging issues relating to hardware, test setup, firmware, and software.

• 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.

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

• 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…