Founded in 1987, CoStar Group is the leading provider of commercial real estate information, analytics, and online marketplaces. Our suite of online services enables clients to analyze, interpret and gain unmatched insight on commercial property values, market conditions and current availability. Behind some of the most well-known brands in the industry, CoStar Group includes CoStar, the largest provider of CRE research and real-time data; LoopNet, the most heavily trafficked mobile and online real estate marketplace; Apartments.com, the premier rental home resource for renters, property managers and owners; STR, the leading provider of performance benchmarking and comparative analytics to the hotel industry; BizBuySell, the largest online marketplace for businesses-for-sales; and Lands of America, the leading operator of online marketplaces for rural real estate. Headquartered in Washington, DC, CoStar Group maintains offices throughout the U.S. and in Europe, Canada, and Asia with a staff of over 4,300 worldwide. CoStar delivers real-time, verified real estate data that helps clients confidently spot great opportunities and make smart choices ahead of competitors. By combining the power of CoStar's independent research organization - the industry's largest - with global data delivery, software, and application solutions, clients can act on opportunities with confidence. Data Scientists at CoStar play an important role in this process, by mining data from sources including billions of pageviews, millions of images, vast geographic data, deep property content, and much more. We enhance our extensive property database, personalize our customers' experience on our product websites, and create innovative datasets and forecasts that are the industry standards in our market leading products. We are searching for a Machine Learning Engineer to join our collaborative group that includes a mix of big data, API and full stack development teams in San Diego, CA. We are growing rapidly to help invent the future of Real Estate, with Data Science playing a critical role in that growth. This position will be located out of our San Diego (UTC area) office with a 4 day onsite (Monday-Thursday) and 1 day work from home schedule (Fridays).
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Job Type
Full-time
Career Level
Mid Level
Industry
Broadcasting and Content Providers
Education Level
Bachelor's degree
Number of Employees
1,001-5,000 employees