Software Engineer, Trust and Safety, Tech Enablement
Job Overview
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Job Description
About the Job
Google's Software Engineers develop cutting-edge technologies that transform how billions of users connect, explore, and interact. As a Software Engineer, Trust and Safety, Tech Enablement, you will work on projects critical to Google’s mission, with opportunities to evolve your role as the business grows. We seek versatile engineers who demonstrate leadership and enthusiasm for tackling new problems across the full stack.
The Trust and Safety (T&S) team is dedicated to fostering trust in Google and ensuring user safety by proactively identifying and mitigating potential harms across all Google products and services. This global team of experts, including technical analysts, data scientists, policy specialists, and data engineers, collaborates cross-functionally to defend Google's platforms, ensuring the safety and security of billions of users, developers, creators, advertisers, and customers. We drive responsible innovation and lead the industry in fighting abuse.
Responsibilities
- Scope, design, test, and deploy new features and components leveraging AI to automate and enhance T&S operations, scaling user protection impact.
- Troubleshoot and debug issues to ensure a high-quality user experience.
- Work across the stack, from building AI models and performing experiments to improving quality, and developing infrastructure and tools.
- Collaborate cross-functionally to solve ambiguous, challenging, and impactful problems at the intersection of technology, automation, user protection, and AI.
- Actively participate in code reviews, providing and receiving constructive feedback from peers.
Minimum Qualifications
- 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.
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 them to complex issues.
Key skills/competency
- Software Engineering
- AI Algorithms
- Generative AI
- Abuse Detection
- Trust & Safety
- Distributed Computing
- Large-Scale Systems
- Debugging
- Python
- Java
How to Get Hired at Google
- Research Google's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor to understand Google's innovative environment and commitment to user safety.
- Tailor your resume for software engineering: Customize your resume to highlight experience in large-scale software development, AI, abuse detection, and debugging, using keywords from the Google job description.
- Showcase problem-solving and AI skills: Prepare to discuss specific projects where you applied AI algorithms, Generative AI, or tackled complex debugging challenges in software engineering, demonstrating your impact.
- Practice system design and coding interviews: Google interviews emphasize data structures, algorithms, and system design. Sharpen your skills and be ready to articulate your thought process clearly during technical assessments.
- Highlight collaboration and impact: Emphasize instances of cross-functional collaboration and how your work has contributed to scalable solutions or user protection, aligning with Google's team-oriented and mission-driven approach.
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