Principal Machine Learning Engineer

bile apps. You'll engage with some of the best and the brightest co-workers and leaders, learn and contribute, and have a great time. We work hard, play hard, and recognize achievement - rewarding passion for innovation, creativity, and quality. If you enjoy working in a fast-paced, dynamic, cutting-edge work environment and desire to make a meaningful contribution to the business, then make the move!

What you'll do:

• Lead collaboration with data scientists, product managers and other cross-functional teams to build new data driven and machine learning based features for enriching the consumer experience of home shoppers, renters and sellers.

• Architect best in class solutions to maintain the machine learning lifecycle and drive ML Ops (monitor inference performance, scalability, availability etc)

• Develop predictive, explanatory models and machine learning algorithms that gracefully scale to increasing complexity as well as drive revenue growth, customer retention and support strategic decision making.

• Drive design of experiments to facilitate testing of new product and design features, with focus on improving engagement, retention, and conversion.

• Serve as a resource for the team on industry trends in algorithmic advancements, statistics and research developments.

• Take ownership and responsibility for team practices and processes and their continuous improvement.

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

What you'll bring:

• Degree preferred in computer science, statistics, operations research or related fields.

• BS and 12+ years/MS and 7+ years of working on complex, scalable backend systems.

• 5+ years of industry experience deploying Machine Learning models to production at scale.

• Expertise in SQL and Python

• Expertise with AWS stack - at least a few of the following - S3, Athena, EC2, ECS, Lambda, SageMaker, SQS, SNS, Kinesis, MongoDB, and DynamoDB

• Experience with Docker and Containerization

• Knowledgeable of core CS concepts such as: structured and unstructured data, data management and querying, common data structures and algorithms

• Strong communication, analytical, and people skills

• Experience with ML deployment APIs

• GraphQL, API Gateway, Microservices is a plus

Do the best work of your life at Realtor.com®

Here, you'll partner with a diverse team of experts as you use leading-edge tech to empower everyone to meet a crucial goal: finding their way home. And you'll find your way home too. People are our foundation-the core that drives us passionately forward. At Realtor.com®, you'll bring your full self to work as you innovate with speed, serve our consumers, and champion your teammates. In return we'll provide you with a warm, welcoming, and inclusive culture; intellectual challenges; and the development opportunities you need to grow.

Diversity is important to us, therefore, Realtor.com® is an Equal Opportunity Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, Realtor.com® will provide reasonable accommodations for otherwise qualified disabled individuals.