Kalepa is hiring a Remote Machine Learning Engineer
\nSalary range: $72k โ $96k\n\nEquity range: 0.005% โ 0.025%\n\n \n\nWhat we are looking for:\n\nAs a Machine Learning Engineer you will lead the framing, development, and deployment at scale of machine learning models to understand the risk of various classes of businesses. 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. \n\nKalepa's team members bring experience from top technology, insurance, and intelligence institutions including Facebook, Google, Amazon, Uber, Doordash, Mastercard, Chubb, AIG, Zurich, Everest Insurance, MIT, Berkeley, UPenn, the University of Warsaw, and the Israel Defense Forces.\n\nKalepa is backed by IA Ventures (early investors in Datadog, Wise, Better, Digital Ocean, TheTradeDesk, Flatiron Health, Komodo Health, etc.), Former Secretary of Commerce Penny Pritzkerโs Inspired Capital, and leaders in financial services and technology including Gokul Rajaram from Doordash, Coinbase, and Square, Jackie Reses from Square, Affirm, and Alibaba, and Henry Ward from Carta.\n\nIn July 2021 we raised a $14 million Series A funding round led by Inspired Capital, with participation from previous investor IA Ventures.\n\n\nAbout you:\n\n\nYou must have 3+ years of experience in engineering and data science.\n\n* You love to hustle: finding ways to get things done, destroying obstacles, and never taking no for an answer. The words โit canโt be doneโ donโt exist in your vocabulary.\n\n* You have in-depth understanding of applied machine learning algorithms, especially NLP, and statistics\n\n* You are experienced in Python and its major data science libraries, and have deployed models and algorithms in production\n\n* You are comfortable with data science as well as with the engineering required to bring your models to production.\n\n* You are excited about using a wide set of technologies, ultimately focused on finding the right tool for the job.\n\n* You value open, frank, and respectful communication.\n\n\n\n\nAs a plus:\n\n\n* You have experience with AWS\n\n* You have hands-on experience with data analytics and data engineering.\n\n\n\n\nWhat youโll get: \n\n\n* Competitive salary (based on experience level).\n\n* Significant equity options package.\n\n* Work with an ambitious, smart, global, and fun team to transform a $1T global industry.\n\n* Ground floor opportunity โ early member of Kalepaโs data science team.\n\n* 20 days of PTO a year.\n\n* Global team offsites.\n\n* [For Poland] Assistance with getting the 10% tax rate on your base salary (IP BOX).\n\n\n \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Python and Engineer jobs that are similar:\n\n
$67,500 — $110,000/year\n
\n\n#Benefits\n
๐ฐ 401(k)\n\n๐ Distributed team\n\nโฐ Async\n\n๐ค Vision insurance\n\n๐ฆท Dental insurance\n\n๐ Medical insurance\n\n๐ Unlimited vacation\n\n๐ Paid time off\n\n๐ 4 day workweek\n\n๐ฐ 401k matching\n\n๐ Company retreats\n\n๐ฌ Coworking budget\n\n๐ Learning budget\n\n๐ช Free gym membership\n\n๐ง Mental wellness budget\n\n๐ฅ Home office budget\n\n๐ฅง Pay in crypto\n\n๐ฅธ Pseudonymous\n\n๐ฐ Profit sharing\n\n๐ฐ Equity compensation\n\nโฌ๏ธ No whiteboard interview\n\n๐ No monitoring system\n\n๐ซ No politics at work\n\n๐ We hire old (and young)\n\n
\n\n#Location\nWarsaw, Masovian Voivodeship, Poland
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