Software Engineer, AI Safety

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.

Tech Stack

• Terraform, Kubernetes, Azure, Python, Postgres, Kafka.