Opening. We are seeking a Machine Learning Infrastructure Engineer to join our Safeguards organization, where you'll build and scale the critical infrastructure that powers our AI safety systems.
What you'll do
As part of the Safeguards team, you'll design and implement ML infrastructure that powers Claude safety. Your work will directly contribute to making AI systems more trustworthy and aligned with human values, ensuring our models operate safely as they become more capable.
What you need
- Design and build scalable ML infrastructure to support real-time and batch classifier and safety evaluations across our model ecosystem
- Build monitoring and observability tools to track model performance, data quality, and system health for safety-critical applications
- Collaborate with research teams to productionize safety research, translating experimental safety techniques into robust, scalable systems
- Optimize inference latency and throughput for real-time safety evaluations while maintaining high reliability standards
- Implement automated testing, deployment, and rollback systems for ML models in production safety applications
- Partner with Safeguards, Security, and Alignment teams to understand requirements and deliver infrastructure that meets safety and production needs
- Contribute to the development of internal tools and frameworks that accelerate safety research and deployment
