Machine Learning Engineer • Mid-Level

Who you are

You have a strong background in machine learning and distributed systems, with experience designing and building scalable infrastructure that supports real-time and batch processing. Your expertise in Python allows you to develop robust systems that can handle safety evaluations across complex model ecosystems. You understand the importance of monitoring and observability tools, ensuring that model performance and data quality are maintained at high standards. You thrive in collaborative environments, working closely with research teams to translate experimental safety techniques into production-ready systems. Your problem-solving skills enable you to optimize inference latency and throughput while maintaining reliability. You are committed to making AI systems trustworthy and aligned with human values, contributing to the mission of creating beneficial AI.

What you'll do

In this role, you will design and implement scalable ML infrastructure that powers safety evaluations for AI systems. You will build monitoring and observability tools to track model performance and system health, ensuring that safety-critical applications operate reliably. Collaborating with research teams, you will productionize safety research, translating experimental techniques into robust systems. Your responsibilities will include optimizing inference latency and throughput for real-time safety evaluations, implementing automated testing and deployment processes, and ensuring that the infrastructure can scale effectively as the AI systems evolve. You will play a key role in enhancing the safety and reliability of AI technologies, directly impacting how these systems operate in real-world scenarios.

What we offer

At Anthropic, we provide competitive compensation and benefits, including optional equity donation matching and generous vacation and parental leave. You will enjoy flexible working hours and a collaborative office environment in San Francisco, where you can work alongside a dedicated team of researchers and engineers committed to building beneficial AI systems. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.