Machine Learning Engineer II

Costar GroupSan Diego, CA
76d$125,800 - $193,600Remote

About The Position

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).

Requirements

  • Bachelor's degree, preferably Computer Science / Data Science or related field. MSc or PhD is a plus.
  • 3+ years of professional development experience as Machine Learning Engineer, Data Scientist or related role
  • 3+ years of programming experience with modern languages such as Python
  • Work experience with recommendation systems, LLMs, NLP libraries
  • Strong math and analytical skills

Nice To Haves

  • Experience with ML cloud tools such as Databricks, Amazon Personalize, SageMaker
  • Experience with SQL-based relational databases (e.g. AWS RDS) or document-based databases (e.g. DynamoDB).
  • Experience solving streaming and batch data processing problems at scale
  • Experience building, deploying and optimizing ML models

Responsibilities

  • Collaborate on the continued improvement of CoStar's cloud-based machine learning environment
  • Design, build, test and deploy scalable, reusable and maintainable models that handle large amounts of data.
  • Collaborate with other engineers, product owners, and leadership to create ML solutions that solve practical problems and improves our customer's experience
  • Gain an understanding of the CoStar business and how ML can improve things

Benefits

  • Comprehensive healthcare coverage: Medical / Vision / Dental / Prescription Drug
  • Life, legal, and supplementary insurance
  • Commuter and parking benefits
  • 401(K) retirement plan with matching contributions
  • Employee stock purchase plan
  • Paid time off
  • Tuition reimbursement
  • Complimentary gourmet coffee, tea, hot chocolate, prepared foods, fresh fruit, and other healthy snacks

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What This Job Offers

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

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