Machine Learning Systems Engineer, Research Tools

Anthropic is seeking an experienced Machine Learning Systems Engineer to join their Encodings and Tokenization team. This role focuses on optimizing encoding techniques used for Finetuning, contributing to infrastructure that impacts model learning efficiency and reliability. The engineer will collaborate with research teams to improve data representation, test frameworks, and system monitoring, contributing to Anthropic's research progress.

Requirements

• Significant software engineering experience with machine learning expertise
• Comfort navigating ambiguity and developing solutions in rapidly evolving research environments
• Strong analytical and problem-solving skills
• Experience with machine learning systems, data pipelines, or ML infrastructure

Benefits

• Competitive compensation
• Equity donation matching
• Flexible working hours
• Lovely office space