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Join Monad Labs as a Quantitative Researcher to work on predictive modeling in the blockchain space, impacting performance and economics of decentralized tech.
The Monad Foundation is a team of dedicated ecosystem and community builders who are on a mission to massively grow the impact of decentralized tech. We believe that the Monad blockchain--the performant and parallel EVM Layer 1--will help decentralized apps eat the world.
- Work on greenfield predictive modeling problems related to blockchain performance and system/user behavior.
- Implement production-grade solutions and take end-to-end ownership of production prediction pipelines.
- At least 3 years of experience building predictive models, preferably at a HFT firm.
- Excellent knowledge of predictive modeling techniques including linear regression, decision trees, and neural nets.
- Proficiency in numpy and pandas.
- Experience building significant projects from scratch.
- Bonus: You are crypto-native.
- Challenging problems with autonomy and impact.
- Endless opportunity for impact in a game-changing blockchain project.
- Be part of a world-class team with a culture of collaboration, low ego, and high-quality output.