MACHINE LEARNING SYSTEMS ENGINEER - INFRASTRUCTURE & RUNTIME

Anthropic
Full-time
San Francisco, CA / New York City, NY
$300,000 - $405,000
Posted on 5 months ago

Job Description

As an Infrastructure & Runtime Engineer on the Horizons team, you will build and maintain the foundational systems that enable our AI research. You'll work closely with researchers and engineers to develop robust infrastructure for large language model training, focusing on code execution environments, data pipelines, and performance optimization. Your work will directly support advances in reinforcement learning, agentic AI capabilities, and secure model evaluation systems.

Responsibilities

  • Design and implement high-performance data pipelines
  • Build and maintain secure sandboxed execution environments
  • Develop infrastructure for reinforcement learning training environments
  • Optimize resource utilization across our distributed computing infrastructure
  • Collaborate with researchers to translate their requirements into scalable, production-grade systems

Requirements

  • Proficiency in Python and async/concurrent programming
  • Experience with container technologies and virtualization systems
  • Strong systems programming skills and understanding of performance optimization
  • Experience with data pipeline development and ETL processes
  • Care about code quality, testing, and performance
  • Communicate effectively with both technical and research-focused team members
  • Passionate about developing safe and beneficial AI systems

Benefits

  • No benefits