Founded by Jump Trading alums, Monad Labs is a tech startup using low-latency programming, compiler optimization, and multithreaded computing to build an ultra-high-performance smart contract platform. The work entails building an optimal stack-based VM that supports multithreaded computation, as well as developing and implementing an efficient Byzantine Fault Tolerant (BFT) algorithm enabling a network of nodes to come to consensus. We recently raised $225M in series A funding to scale our team in bringing the Monad blockchain to production.
The Role
Monad Labs is 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.
What You’ll Do
Who You Are
Why work with us
Salary and benefits
Minimum full-time salary of $200,000. (**This is not a guarantee of compensation or salary; a final offer amount may vary based on factors including but not limited to experience and geographic location.)
Monad Labs’ benefits include unlimited and encouraged paid time off; insurance coverage; home office equipment stipend; monthly wellness/fitness stipend; and 10 company-observed holidays.