Senior Manager, Machine Learning
About the role
Recognized as the No. 1 site trusted by real estate professionals, Realtor.com® has been at the forefront of online real estate for over 25 years, connecting buyers, sellers, and renters with trusted insights and expert guidance to find their perfect home. The Sr. Manager, Machine Learning is chartered with comprehending and modeling the various paths to monetization at the company. This is a very high visibility role with extremely high upside as you will have the ability to directly impact the company’s bottom line.
A successful candidate is obsessed with understanding the intricacies of the company and how revenue is realized. Using this as a guiding light and conditioning it on fairness, inclusion, and making sure we have a world-class customer experience is what this individual is chartered with.
Responsibilities
- Understand the business and data models to effectively query data
- 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
- Supervise exploratory analysis on Realtor.com®’s wealth of data
- Direct development of predictive, explanatory models and machine learning algorithms
- Design and build machine learning solutions 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
- Help improve the scope of our data sets by identifying new data collection and procurement opportunities on an ongoing basis
- Mentor a team of machine learning engineers on data exploration, machine learning, and developing data-oriented products
- Work with a sense of ownership and urgency, advocate for experimentation-based, agile culture
- Drive a project forward given just a problem and mission statement
- Utilize AI coding assistants and LLMs proficiently to accelerate development velocity, generate boilerplate, and troubleshoot complex debugging scenarios while verifying AI-generated outputs for security, performance, and accuracy
Requirements
- PhD/MS in computer science, statistics, mathematics, operations research, or related fields
- 8+ years of relevant experience in data science, machine learning, or applied statistics
- 2+ years managing a team of machine learning engineers
- Experience with Machine Learning, NLP, and data mining tools and underlying algorithms
- 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
- Extensive experience with AWS, GCP, Azure, or equivalent
- Experience with experiment design and A/B and multivariate tests
- Excellent communication and presentation skills, distilling complex analysis and concepts into concise business-focused takeaways
- Strong ability to coach Machine Learning Engineers, helping them improve their skills and grow their careers
Schedule
Employees work three days in our Austin headquarters where they have the opportunity to collaborate in-person.
Benefits
- Inclusive and competitive medical, Rx, dental, and vision coverage
- Family-forming benefits
- 13 paid holidays
- Flexible time off
- 8 hours of paid volunteer time off
- Immediate eligibility into company 401(k) plan with 3.5% company match
- Tuition reimbursement program for degreed and non-degreed programs
- 1:1 personalized financial planning sessions
- Student debt retirement savings match program
- Free snacks and refreshments in each office location