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.
We are looking for an exceptional quant to work on data science and machine learning problems in the blockchain space. The work will be challenging, as it will involve predictive modeling for a variety of topics like transaction dependencies, user behavior, network behavior, etc. We’re looking for someone who has excelled in other environments where predictive analytics had a direct impact on the bottom line, such as high-frequency trading or traditional tech. Your work will directly impact the performance and economics of one of the biggest upcoming blockchain projects in the space.
Work on greenfield predictive modeling problems related to blockchain performance and system/user behavior. Problems may be open-ended; you’ll have to devise and prototype a variety of approaches before finding the correct solution.
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
You’re creative, self-motivated and independent
You have excellent knowledge of predictive modeling techniques including linear regression, decision trees, and neural nets
You know numpy and pandas like the back of your hand
You’ve built something significant from scratch
Bonus: You are crypto-native
Challenging problems. You’ll tackle deeply complex and technically demanding problems, with autonomy and impact.
Endless Opportunity for Impact. The Ethereum Virtual Machine (EVM) standard is ubiquitous, but existing EVM-compatible chains are slow and bandwidth-constrained. Monad’s core innovations offer developers and founders the best of both worlds (portability and performance) and are a game-changer to power global on-chain finance.
The right team. You’ll be part of a world class team, who are exceptional and highly-motivated.
Culture We’re a lean team working together to achieve very ambitious goals. We are united in our culture of collaboration, low ego, and high-quality output.
Strong Ecosystem The broader Monad ecosystem has attracted support from leading investors, builders and long-term contributors.
Category Labs (formerly known as Monad Labs) is a team of systems engineers and researchers on a mission to design and build at the frontier of decentralized technology. We strive to design and build step-function improvements over existing blockchain solutions. Such greenfield systems include from-scratch databases, Byzantine Fault Tolerant consensus mechanisms, JIT compilers for EVM bytecode, and much more.
We recently raised $225M in series A funding, and are backed by Paradigm, Electric Capital, Dragonfly Capital, and others.
Category Labs is building the next generation of blockchain infrastructure with Monad, an EVM-compatible layer 1 that dramatically improves performance. Deep optimization is needed across all levels of the stack - from the database layer, to the virtual machine layer, to the consensus and networking layer - in order to streamline EVM transaction processing. We are introducing these low-level optimizations, allowing consumer-grade hardware to deliver exceptional performance while maintaining a high degree of decentralization.
