Software Engineer, AI Safety
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.
About the job
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.
Skills
Python, Kubernetes, Terraform, Azure, Postgres, Kafka, C++, Rust, Go, Machine Learning
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