Machine Learning Systems Engineer, Research Tools
AnthropicSan Francisco, California, United States • New York, New York, United States • Seattle, Washington, United States
Posted October 14, 2025
320000 - 405000 USD year
Full Time
About the Company
Anthropic is an AI research company focused on developing reliable, interpretable, and steerable AI systems. Their flagship product, Claude, is an AI assistant designed for tasks of any scale. The company's research encompasses natural language processing, human feedback mechanisms, scaling laws, reinforcement learning, code generation, and interpretability, setting them apart with a commitment to transparency and control in AI development.
Job Description
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