Machine Learning Engineer

At HouseCanary, we’re using data and analytics to predict the future of US residential real estate. Our goal is to help people make better decisions by offering innovative and unparalleled insights. HouseCanary’s platform accurately forecasts values 36 months into the future for four million residential blocks and more than 100 million properties.

We’re seeking a passionate Machine Learning Engineer to join our research team and help build out the backend analytics platform powering the most accurate real estate analytics tools in the world.

What you'll do:

  • Make meaningful contributions to all phases of research including - building, scaling and pipelining models and analytics
  • Collaborate with talented data scientists to research, optimize, scale and deploy to production predictive models
  • Create new features leveraging text mining, computer vision and geospatial techniques for every single family residential property in US
  • Develop performant and reliable distributed services to integrate core research outputs into products across the company
  • Design elegant and efficient solutions that handle and expose large datasets and complex model frameworks
  • Architect fault tolerant pipelines to cleanse, standardize, and process data

What you have:

  • 3+ years of software engineering experience
  • Expertise in Python development
  • Mastery in working with complex datasets
  • Interest in implementing and improving statistical/machine learning models
  • Solid SQL knowledge
  • Comfort with Linux command line
  • Experience with AWS

Special consideration given for:

  • Expertise in R
  • Knowledge of real estate markets
  • Geospatial development experience
  • Fantastic sense of humor

HouseCanary is the authoritative source for accurate, uniform information, analyzed and visualized real-time to make better, faster decisions.

HouseCanary - one platform, infinite insights.

Meet Some of HouseCanary's Employees

Jeff S.

President and COO

Jeff works with every single team at HouseCanary, from sales and marketing to product management and engineering. He helps provide each team with the resources they need to do their best work.

Luc D.

QA Manager

Luc and his team test all customer-facing products to ensure there are no bugs, bad data, or unpleasant experiences before they're sent to market.

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