Unlocking the Future of Engineering Evaluations at Anthropic
In a rapidly evolving AI landscape, hiring top performance engineers poses new challenges. Tristan Hume, lead on Anthropic’s performance optimization team, shares insights on crafting an innovative take-home test that’s transformed their hiring process. Here’s what you need to know:
- The Challenge: Traditional hiring methods are becoming ineffective due to AI advancements.
- Test Evolution: Hume’s dynamic take-home tests have gone through multiple iterations to stay relevant as Claude models consistently outperform initial benchmarks.
- Effective Design Goals:
- Engaging and realistic tasks.
- Compatibility with AI assistance, reflecting real-world scenarios.
- High scoring distribution, capturing a wide range of candidate abilities.
With an open challenge to engineers, those who can outperform the latest Claude models are encouraged to join the team.
👉 Ready to demonstrate your skills? Download the take-home test from GitHub and see if you can beat Claude! [Link to GitHub]
