Machine Learning Engineer – New York City – Up to $600k base + Bonus

How does a systematic, quantitative investment firm that focuses on generating alpha in the cryptocurrency space post positive returns every month since inception, whilst the assets they trade have been doing the opposite?

Pretty simple – hire the best talent, coming from the likes of Citadel, Susquehanna, Five Rings Capital, AQR, DRW, and leading academic professors from schools like Stanford, MIT, and UPenn/Wharton.

According to their documentation, they are currently managing around $150 million in 3 different funds (different strategies, DeFi, HFT, MEV, stat arb) with the scope to scale in the billions in a few years.

They are looking for a switched-on ML Engineer to join them.

The role involves building and constantly improving their cloud-native research infrastructure, building end-to-end ML pipelines, and optimizing ML algorithms to handle distributed training over massive data sets (they gather and store >40TB per day of memory pool data).

Strong programming ability in Python is needed. Intermediate C++ experience is a nice to have. Experience with technologies such as AWS EC2/Batch or their counterparts, Airflow, Spark, and Kubernetes is also nice to have.

Looking for someone with experience working with cloud-based research environments and machine learning workflows.

If you are interested please get in touch: karolis@durlstonpartners.com

All shortlisted candidates will be contacted within 48 hours.

Machine Learning Engineer – New York City – Up to $600k base + Bonus