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Monad Labs

Quantitative Researcher

Monad Labs · remote · middle · full-time
aicryptoweb3 predictive modelingdata sciencemachine learningnumpypandas
5.9
AI Score
The vacancy is well-defined but lacks compensation details, affecting overall attractiveness.
no salary info
Job description
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.
Responsibilities
- 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.
Requirements
- 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.
Conditions
- 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.
About Monad Labs
Monad Labs is building the Monad blockchain, an ultra-high-performance EVM-compatible layer-1 blockchain with 10,000 TPS, enabling parallel execution and innovations in consensus and smart contract execution to scale the EVM and drive decentralized app adoption. The company focuses on engineering, research, and protocol upgrades for this next-generation blockchain.
L1/L2 · 10-50 · New York, United States · Founded 2022 · https://www.monad.xyz/
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