About The Position

This Machine Learning Engineer role focuses on building and scaling production-grade machine learning solutions that directly enhance CoStar’s products and customer experience. The engineer will work closely with software engineers, product leaders, and business stakeholders to develop, deploy, and optimize ML models across large-scale datasets, while helping evolve CoStar’s cloud-based machine learning platform. This position is located in Arlington, VA and will have a 4-day onsite schedule Monday-Thursday, with Fridays work from home.

Requirements

  • Bachelor's degree required from an accredited, not-for-profit, in-person college/university
  • A track record of commitment to prior employers
  • 5+ years of professional development experience as Machine Learning Engineer, Data Scientist or related role
  • 3+ years of programming experience with Python
  • Experience with recommendation systems and (preferably) computer vision
  • Strong foundations in ML concepts including supervised/unsupervised learning, model evaluation, feature engineering, and familiarity with deep learning frameworks (PyTorch or TensorFlow)

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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