AWS (nice to have)
Machine Learning (regular)
Kalepa is looking for Machine Learning Engineers with 2+ years of experience to frame, develop and deploy at scale of machine learning models to understand the risk of various classes of businesses.
We are a fully remote startup building software to transform and disrupt commercial insurance. Our HQ is located in New York.
In this role you will be turning vast amounts of structured and unstructured data from many sources (web data, geolocation, satellite imaging, etc.
into novel insights about behavior and risk. You will be working closely with a small team in designing, building, and deploying machine learning models to tackle our customers’ questions.
You will be collaborating with a small team of full-stack, data, and DevOps engineers.
Every business on the planet needs insurance. Nearly one trillion ($1T) dollars are spent globally each year on commercial insurance to protect businesses from fires, injuries, lawsuits, etc.
However, commercial insurance is plagued with a big problem. Businesses and insurers don’t trust each other. This leads to a lot of economic waste.
Missed opportunities, mispricing, and mistakes. Everyone is worse off.
By combining cutting-edge data science and a proprietary learning engine in a delightful-to-use software platform, Kalepa is solving this problem and turning every underwriter into a top underwriter.
There are many challenging technical problems as we continue to build and expand our software and a massive opportunity to transform an ancient industry that comprises 6% of world GDP.
Kalepa's team members bring experiences from Facebook, Google, Amazon, ClassPass, Atlassian, Mastercard, MIT, Berkeley, UPenn, the University of Warsaw, and the Israel Defense Forces.
Kalepa is backed by IA Ventures, lead early-stage investors on TheTradeDesk (IPO, $38B valuation), Datadog (IPO, $32B), TransferWise (last valued at $5B), DataRobot ($2.
7B), Flatiron Health (acquired for $2B), and several other unicorns and public companies.
About you :
As a plus :
What you’ll get
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