Staff Machine Learning Engineer-Consumer Data Science
Posted on: January 16, 2022
Come to work for Realtor.com! A leader in online real estate and
backed by industry experience and the News-Corp Brand,
Realtor.com's vision is to be the leading destination to discover
and create your perfect home, and today millions of unique users
visit our company's website and mobile apps monthly. What you can
do at Realtor.com has the potential to touch people in a real and
At realtor.com, we process terabytes of data everyday and transform
that data into information that powers decisions for millions of
home buyers, sellers, renters, dreamers, and real estate
professionals. You'll engage with some of the best and the
brightest co-workers and leaders, learn and contribute, and have a
great time. 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!
We seek a highly seasoned ML practitioner to join our Data Science
- Machine Learning team and help take it to the next level. We use
advanced ML to build recommender systems and matching models,
search relevance & ranking systems, user personalizations and
consumer segmentation models. We also leverage the latest
advancements in deep learning on images and NLP to build rich,
next-gen experiences for our users. As a key member of the team,
you will be responsible for the development and deployment of
innovative concepts, research, predictive modeling, and machine
learning algorithms. You will also serve as a mentor for the junior
members on the team and provide guidance on their projects.
Research, build and deploy machine learning and deep learning
Design and build solutions leveraging the wealth of consumer
clickstream data, real estate property data, images and text data
Create scalable machine learning models - classification &
regression (GBMs, RF, LR, etc.), forecasting, clustering, neural
networks (CNNs, LSTMs, Transformers, etc.) that integrate into
batch, streaming and real-time systems.
Build end-points to serve ML models in production.
ML Ops (monitor inference performance, scalability, availability,
Effectively partner with product and engineering teams to ideate
and build new data-driven and machine learning based features for
enriching the experience of home shoppers.
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
procurement opportunities on an ongoing basis.
Generate descriptive visualizations and presentations to
communicate insights and results.
Mentor the team on data exploration, machine learning, deep
learning and developing data-oriented products.
Work with a sense of ownership and urgency, advocate for
experimentation-based, agile culture.
MS/PhD in machine learning, computer science, applied mathematics
or related fields.
7+ years of relevant work experience in the industry building and
productionizing ML models.
Proficient in Python, Scikit-learn, XGBoost, PyTorch/TensorFlow,
and other languages and frameworks appropriate for ML modeling and
Strong experience with Consumer Data
Experience with Recommender Systems or Consumer Classification
Experience with relational databases (SQL) and large scale
Comfortable with experiment design and A/B and multivariate
Exposure to Docker and Containerization.
Knowledgeable of core CS concepts such as: structured and
unstructured data, data management and querying, common data
structures and algorithms.
Strong creative thinking and problem solving skills.
Excellent oral and written communication and presentation
At realtor.com -, we believe that everyone deserves a home of their
own. We're a community of nearly 2,000 employees who work hard to
ensure that from the moment someone starts dreaming about a new
home, to the moment they walk in the door and beyond, we're there
to lend a helping hand. Every month, over 85 million people trust
us with their journey home by visiting our site and mobile apps,
and we'd love to have you join our team to help.
We've got great offices in the U.S. and Canada with lots of sweet
jobs to choose from, so we're hoping you'll join us on our journey
to make buying, selling, renting, and living in homes easier and
more rewarding for everyone.
Let's make a difference, together. For Real.
Keywords: Realtor.com, Chicago , Staff Machine Learning Engineer-Consumer Data Science, Engineering , Chicago, Illinois
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