Senior Machine Learning Engineer

At , we process terabytes of data everyday and transform that data into information that powers decisions for millions of home buyers, renters, dreamers, and real estate professionals. We aim to radically simplify home buying/selling and help more people achieve buy and live in their dream home on our  website and mobile apps.

• Effectively partner with product and engineering teams to build new data driven and machine learning based features for enriching the consumer experience of home shoppers, renters and sellers.
• Create ETL pipelines to get the required data in a format ready for downstream tasks.
• Understand the business and data models to effectively query and perform exploratory analysis on ’s wealth of data.
• Design and build predictive, explanatory models and machine learning algorithms to drive revenue growth, customer retention and support strategic decision making.
• Generate descriptive visualizations and presentations to communicate insights.
• Drive A/B & multivariate tests and design of experiments to facilitate testing of new product and design features, with focus on improving engagement, retention, and conversion.
• Deploy trained model artifacts to AWS.
• Participate in code reviews and adhere to the team’s coding standards.

We balance creativity and innovation on a foundation of in-person collaboration. For most roles, our employees work three or more days in our offices, where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together.

• PhD/MS in computer science, statistics, mathematics, operations research or related fields and 2 years of relevant experience in data science, machine learning or applied statistics or a BS in related fields with 4+ years of experience.
• Experience with Machine Learning, NLP and data mining tools and underlying algorithms.
• Experience with experiment design and A/B and multivariate tests.
• Experienced in Python, R, Spark or other languages and frameworks appropriate for large scale analysis of structured and unstructured data.
• Working experience with relational databases (SQL) and large scale distributed systems.
• Experience with Docker and AWS and taking a prototype into production is preferred.
• Experience with git and github is preferred.
• Strong creative thinking and problem solving skills.
• Excellent oral and written communication and presentation skills.