Safety Engineer - Free Tier Abuse

The role

This individual contributor role sits within the safety function and centers on automated moderation and guardrail infrastructure. The engineer works with ML and full-stack colleagues to stand up new safety systems and carries end-to-end technical ownership from design through live monitoring.

What you would do

• Build scalable backend services for detecting abuse and serve ML models in live environments
• Design APIs, data flows, and service layers that handle both real-time and batch moderation
• Set up monitoring, alerting, and observability, including defining reliability targets and benchmarks
• Work with ML engineers to turn research prototypes into dependable production components across products
• Shape technical direction and roadmap for the next generation of platform safeguards

What they asked for

• Hands-on experience combating free-tier misuse, payment fraud, or fake or automated account networks at scale
• Six or more years building and running large-scale backend systems
• Strong production background in distributed systems, APIs, data pipelines, and asynchronous Python
• Working knowledge of cloud platforms, containers, orchestration, and CI/CD
• Observability-focused mindset with hands-on use of metrics and dashboarding tools
• Record of launching systems from scratch with measurable outcomes, including working alongside ML systems in production

Nice to have

• Background in trust and safety, content moderation, or integrity engineering
• Experience operating ML model deployment, monitoring, and versioning pipelines
• Familiarity with SQL, analytics tooling, streaming platforms, or event-driven designs
• Exposure to React or modern frontend frameworks