
Job Overview
Location
Remote
Job Type
Full-time
Category
Data Science
Date Posted
April 28, 2026
Full Job Description
đź“‹ Description
- • As a Quantitative Researcher at Monad Labs Inc., you will work on data science and machine learning problems in the blockchain space, focusing on predictive modeling for transaction dependencies, user behavior, and network behavior to directly impact the performance and economics of the Monad blockchain.
- • Day to day, you will work on greenfield predictive modeling problems related to blockchain performance and system/user behavior, devise and prototype various approaches for open-ended challenges, and implement production-grade solutions with end-to-end ownership of prediction pipelines.
- • You will join the Monad Foundation, a team of dedicated ecosystem and community builders on a mission to massively grow the impact of decentralized tech through the performant and parallel EVM Layer 1 blockchain.
- • In this role, you can learn and achieve mastery in applying predictive analytics to high-impact blockchain systems, gain deep expertise in decentralized technology economics, and contribute to one of the biggest upcoming blockchain projects with direct influence on its scalability and adoption.
Skills & Technologies
About Monad Labs Inc.
Monad Labs is the core development team behind the Monad blockchain, a high-performance, Ethereum-compatible Layer-1 network that utilizes parallel execution and superscalar pipelining to achieve 10,000 TPS with 1-second finality while maintaining full EVM bytecode and RPC compatibility, aiming to scale decentralized applications without sacrificing decentralization or security.
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