Build and maintain anti-abuse and content moderation infrastructure to ensure AI safety. Collaborate with engineers on AI alignment techniques, incident response, and risk mitigation using Python and cloud tools.
185k – 325k/yr
On-siteML Engineering
About the role
Responsibilities
Architect, build, and maintain anti-abuse and content moderation infrastructure designed to protect us and end users from unwanted behavior.
Work closely with other engineers and researchers to utilize both industry standard and novel AI techniques to measure, monitor and improve AI models’ alignment to human values.
Diagnose and remediate active incidents on the platform and build new tooling and infrastructure that address the root causes of system failure.
Requirements
Built and run production services in a high growth, rapidly scaling environment.
Can debug live issues and restore systems quickly.
Worked on content safety, fraud, or abuse, or motivated to work on present-day AI safety.
Experience with Python or modern languages such as C++, Rust, or Go, and able to quickly ramp up on Python.
Understand trade-offs of capabilities and risks to deploy novel products and features safely.
Critically assess risks of new products or features and devise innovative solutions to mitigate risks without harming product experience.
Pragmatic: know when to build quick fixes vs. robust solutions.
Strong project management skills: self-directed, drive projects to completion with minimal guidance.
Deployed classifiers or machine learning models, or excited to learn modern ML infra.
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