Senior Manager of Machine Learning

At Realtor.com, data is part of our DNA. We process terabytes of data every day, 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 their dream of homeownership on our realtor.com website and mobile apps.

The Senior Manager of Machine Learning is chartered with just that - accelerating our ability to scale the team and our capabilities. You will be responsible for radically changing the way the team does its work by creating, maintaining, and training the team on tools used to scale what they do. In addition to this, you will be tasked with assessing new data, lines of business and potentially new algorithms against existing or new problems in the company.

A successful candidate will have a thirst for knowledge. Able to learn and apply new concepts quickly and effectively. You will also have a strong foundation in cloud technologies and data science tooling. Making the team as a whole more efficient and effective should be the guiding light of the individual in this role.

Responsibilities:

• Engage with business teams to find opportunities, understand requirements, and translate those requirements into technical solutions
• Understand the business and data models to effectively query data and define common datasets and utilities to recompute/access them.
• Help improve the scope of our data sets by identifying new data collection and procurement opportunities on an ongoing basis.
• Effectively prioritize competing initiatives across direct reports; translate strategic priorities into individual/team initiatives and manage expectations
• Communicate results of analyses to business partners and executives
• Research new technologies and methods across machine learning, data science, data engineering, and data visualization to improve the technical capabilities of a team of machine learning engineers and data scientists
• Hire and build a team of high output machine learning engineers.
• Work with a sense of ownership and urgency, advocate for experimentation based, agile culture.

Requirements:

• PhD/MS in computer science, machine learning, or related fields.
• 6+ years of relevant experience in data science, machine learning or applied statistics.
• 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
• 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

Preferred:

• Prior success in a leadership role (team of 4+)
• Extensive experience with containerization and Docker
• Experience with common pipelining tools such as Airflow, Luigi, Metaflow, etc.

Reasons to Apply:

• Lead and architect advanced ML solutions for real estate search and recommendations at scale
• Drive technical strategy and innovation in search and personalization
• Mentor and develop talent while shaping the future of the industry
• You’ll drive direct consumer impact by building the engine that helps millions of people find their way home.

How We Work

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 in Austin, TX, where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together.

How We Reward You:

Realtor.com is committed to investing in the health and well-being of our employees and their families. Our benefits programs include, but are not limited to:

• 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