Anthropic Fellows Program, ML Systems & Performance

Tech Stack

Responsibilities

• Work on an empirical project aligned with Anthropic's research priorities, aiming to produce a public output like a paper submission.
• Utilize external infrastructure such as open-source models and public APIs for research projects.
• Build complex ML systems, balancing research exploration with engineering rigor and operational reliability.
• Potentially contribute to projects like building CPU simulators for accelerator workloads or adding backends for different accelerators on open-source projects.
• Collaborate across research and engineering disciplines and effectively communicate ideas.

Benefits

• Equity
• Learning Budget
• Parental Leave
• Remote Work

Culture

Requirements