\nSalary range: $160k โ $210k\n\nEquity range: 0.05% โ 0.20%\n\n \n\nWhat we are looking for:\n\nKalepa is looking for a Senior Machine Learning Engineer with 5+ years of experience to lead the framing, development, and deployment at the scale of machine learning models. As 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\nTeam members are given full ownership over their projects and are expected to drive the projectโs direction and maintain focus. The team works in a two-week sprint, and ML Engineers will work closely with Product Management and Software Engineers.\n\nAbout you:\n\n\n* You have 5+ 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\nCompetitive salary (based on experience level).\n\nSignificant equity options package.\n\nWork with an ambitious, smart, global, and fun team to transform a $1T global industry.\n\n20 days of PTO a year.\n\nGlobal team offsites.\n\n100% covered PPO medical, 100% covered vision and dental for individuals and families.\n\nHealthy living/gym stipend. Mobile phone bill stipend.\n\nContinuing education credits.\n\n401(k) plan with employer contribution (regardless of employee contribution)\n\n\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, Education, Mobile, Senior and Engineer jobs that are similar:\n\n
$60,000 — $100,000/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\nNew York, New York, United States
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