ML Infrastructure Engineer, Safeguards
Anthropic · San Francisco, CA · AI Research & Engineering
About this role
Anthropic is hiring a senior-level ML Platform Engineer in the machine learning function based in San Francisco, CA. The posting calls out experience with Python, AWS, GCP, Kubernetes. Compensation is listed at $320,000–$405,000 per year.
- Role
- ML Platform Engineer
- Function
- machine learning
- Level
- senior
- Track
- Individual contributor
- Employment
- Full-time
- Location
- San Francisco, CA
- Department
- AI Research & Engineering
More roles at Anthropic
Job description
from Anthropic careersAbout Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
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. You'll work at the intersection of machine learning, large-scale distributed systems, and AI safety, developing the platforms and tools that enable our safeguards to operate reliably at scale.
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.
Responsibilities:
- 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