Senior Software Engineer – Trust & Safety

Quizlet • San Francisco, CA

4d • Onsite

About The Position

About Quizlet: At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way. Our $1B+ learning platform serves tens of millions of students every month, including two-thirds of U.S. high schoolers and half of U.S. college students, powering over 2 billion learning interactions monthly. We blend cognitive science with machine learning to personalize and enhance the learning experience for students, professionals, and lifelong learners alike. We’re energized by the potential to power more learners through multiple approaches and various tools. Let’s Build the Future of Learning Join us to design and deliver AI-powered learning tools that scale across the world and unlock human potential. About the Role: As a Senior Software Engineer, you will take ownership of key systems powering Quizlet’s Trust and Safety infrastructure. You’ll design and implement scalable content moderation, abuse prevention, and policy enforcement solutions that ensure our millions of learners can connect safely and confidently. You’ll collaborate closely across engineering, security, and product to embed safety, reliability, and policy adherence into our platform. We’re happy to share that this is an onsite position in our San Francisco office. To help foster team collaboration, we require that employees be in the office a minimum of three days per week : Monday, Wednesday, and Thursday and as needed by your manager or the company. We believe that this working environment facilitates increased work efficiency, team partnership, and supports growth as an employee and organization.

Requirements

• 5+ years of backend or platform engineering experience building and operating production systems
• Strong experience with one or more of Node.js, Go, Python, or TypeScript
• Solid background in distributed systems, service-oriented architectures, and data pipelines
• Experience designing and implementing reliable, observable, and maintainable systems, with a focus on safe failure modes
• Working knowledge of OAuth2, SSO, MFA, and platform security best practices
• Familiarity with privacy frameworks and compliance requirements (e.g., GDPR, COPPA, DMCA, Content Moderation)
• Experience with implementing feedback mechanisms for moderator interactions to facilitate the retraining of Machine Learning models.
• Familiarity with the integration of multi-modal Machine Learning models for the identification of abusive material across text, image, and other UGC data formats.
• Experience participating in on-call rotations, incident response, and postmortem-driven improvements
• Proven ability to deliver complex features end-to-end, from design through production rollout
• Strong communication and collaboration skills

Responsibilities

• Scale consent and messaging systems to meet new product and regulatory needs
• Design and deliver backend services for user trust, safety, and compliance features, focusing on risk-based access and anomaly detection
• Scale consent and messaging systems to meet new product, trust, safety, and regulatory needs
• Design, implement, productionize, and improve AI-powered solutions to effectively manage and enforce Trust and Safety standards across multiple use cases
• Lead initiatives that enhance reliability, observability, and performance
• Collaborate cross-functionally with security, legal, data science and marketing teams
• Mentor junior engineers and contribute to engineering best practices

Benefits

• Total compensation for this role is market competitive, including a starting base salary of $167,366 - $251,050, depending on location and experience, as well as company stock options
• Collaborate with your manager and team to create a healthy work-life balance
• 20 vacation days that we expect you to take!
• Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, Dental, VSP Choice)
• Employer-sponsored 401(k) plan with company match
• Access to LinkedIn Learning and other resources to support professional growth
• Paid Family Leave, FSA, HSA, Commuter benefits, and Wellness benefits
• 40 hours of annual paid time off to participate in volunteer programs of choice

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed