Sisu Data | Software Engineers | San Francisco | <a href="
A bit about Sisu: We're developing a new kind of analytics platform that is faster, more comprehensive and continuously analyzing data so businesses can track KPIs more effectively. 
The technology builds on years of research by CEO Peter Bailis and his team at the Stanford DAWN project. The key problem Sisu solves is to help identify what’s driving change among this enormous feature and hypothesis space. To do so, we combine statistical analysis and machine learning at scale to provide users personalized, real-time diagnoses of changes in their metrics via an explainable, interpretable user interface. At the end of last year, we announced our $52M Series B led by NEA (total of $66M), with Ben Horowitz (A16Z), and Pete Sonsini (NEA) on the Board.
We're still relatively small (~20 in eng) so you would drive greenfield products at a large scale.
Open Positions:
- Senior Software Engineer - Database Engineering: our backend is the top half of a database engine, a query processor that's  optimized hypothesis testing at a large scale with speeds of millions of records faster than any other system. The most relevant experience is someone who has built a database. Our backend is built in Rust.
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- Senior Front End Engineer - We’re looking for a subject matter expert in Typescript / React / Redux  to shape the future of Sisu’s product interface - a web application that our customers will rely on to “get the facts” to make data driven decisions. You’ll have the opportunity to work on technical challenges including developing our information architecture and solving unique problems, including how to represent statistical data in a digestible way to end users of various knowledge levels.
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- Machine Learning Engineer - You will be responsible for investigating and developing state-of-the-art algorithms in Sisu’s large-scale streaming structured data context. ML engineers at Sisu deliver their features end-to-end, from Jupyter notebook prototypes to production in Rust.
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