Research Engineer, Reward Models Platform
Software Development
Programmatic
WFA Digital Insight
As demand for AI and machine learning specialists surges, Anthropic stands out for its commitment to safe and beneficial AI systems. With a growing need for technical expertise in automation and research workflows, professionals with strong engineering fundamentals and research experience are in high demand. Before applying, candidates should be prepared to showcase their ability to scope ambiguous problems and contribute to research projects.
Job Description
About the Role
Anthropic is seeking a Research Engineer to build the tools and infrastructure that enable researchers to develop, evaluate, and optimize reward signals for training models. The ideal candidate will have a deep understanding of research workflows and the ability to automate high-friction parts, turning days of manual experimentation into hours.Responsibilities
- Design and build infrastructure for rapid iteration on reward signals
- Develop systems for automated quality assessment of rewards
- Create tooling for comparing different reward methodologies
Requirements
Strong engineering fundamentals and research experience are required. The ability to scope ambiguous problems, ship quickly, and care about both the science and systems is essential.How to Stand Out
- Be prepared to discuss your experience with programmatic skills and automation tools in the context of research workflows.
- Showcase your ability to contribute to research projects and collaborate with cross-functional teams.
- Highlight your understanding of scalable platforms and how they can be applied to reward models development.
- Prepare to write Python code during the interview process, as all interviews for this role are conducted in Python.
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