Cerebellum Capital | San Francisco | Time-Series/Machine-Learning Infrastructure | ONSITE
Cerebellum Capital is a machine-learning-focused hedge fund.  The financial markets are full of noisy and unreliable data sources, drawn from nonstationary distributions, with widely-varying time scales.  We're building a new internal infrastructure for this hostile environment.  Our system needs to manage heterogeneous vector-valued time series and machine learning models for both our research process and production trading operations.
You would be the Lead Infrastructure Engineer - doing core architecture and development work, with the expectation that you'll grow a team down the road.  Experience with time-series data management and cloud is a huge plus.  Primary languages are currently Python and Matlab, with some R, but if you think e.g. Scala, Julia, or Go is the right tool for the job, we're open-minded and can work with anything.  Send inquiries and resume to jobs0316 "at" cerebellumcapital.com and ask for Scott.
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