CoStar Group - Senior Machine Learning Engineer

San Diego, CA, United States

Job Description

CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces. Included in the S&P 500 Index and the NASDAQ 100, CoStar Group is on a mission to digitize the world’s real estate, empowering all people to discover properties, insights and connections that improve their businesses and lives.

We have been living and breathing the world of real estate information and online marketplaces for over 35 years, giving us the perspective to create truly unique and valuable offerings to our customers. We’ve continually refined, transformed and perfected our approach to our business, creating a language that has become standard in our industry, for our customers, and even our competitors. We continue that effort today and are always working to improve and drive innovation. This is how we deliver for our customers, our employees, and investors. By equipping the brightest minds with the best resources available, we provide an invaluable edge in real estate.

Homes.com is already one of the fastest growing real estate portals in the industry, we are driven to be #1. Just ask Brad Bellflower, Chief Change Officer at Apartments.com. After its acquisition in 2014, Apartments.com quickly turned into the most popular place to find a place. Proven success at the highest level – and we’re doing it again with the new Homes.com. Homes.com is a CoStar Group company with 20+ years' experience in leading and growing digital marketplaces. We pride ourselves on continually improving, innovating, and setting the standard for property search and marketing experiences. With Homes.com we’re building a brand on the cusp of defining the industry. We’re looking for big thinkers, brave leaders, and creative advertising wizards ready to influence a new age of homebuying within a tried-and-true, award-winning company.

Learn more about Homes.com

Machine Learning Engineers at CoStar play an important role in this process, by mining data from sources including billions of pageviews, millions of images, vast geographic data, deep property content, and much more. We enhance our extensive property database, personalize our customers’ experience on our product websites, and create innovative datasets and forecasts that are the industry standards in our market leading products.

We are searching for a Senior Machine Learning Engineer to join our collaborative group that includes a mix of big data, API, and full stack development teams. We are growing rapidly to help invent the future of Real Estate, with Data Science playing a critical role in that growth.

This position is located in San Diego, CA (UTC Area), and offers the following hybrid schedule option:

3 days onsite, 2 days remote

Responsibilities

Collaborate on the continued improvement of CoStar’s cloud-based machine learning environment.

Design, build, test and deploy scalable, reusable, and maintainable models that handle large amounts of data.

Collaborate with other engineers, product owners, and leadership to create ML solutions that solve practical problems and improve our customer’s experience.

Gain an understanding of the CoStar business and how ML can improve things.

Basic Qualifications

Bachelor’s Degree required from an accredited, not for profit university or college. MSc or PhD is a plus.

A track record of commitment to prior employers

5+ years of professional development experience as Machine Learning Engineer, Data Scientist or related role

5+ years of programming experience with modern languages such as Python, C#, Java, or Scala.

Work experience with Image Classification, Object Detection, NER, or Recommendation Systems.

Experience building data pipelines to collect data, train and test models, measure model performance, run inference on large datasets, and output results.

Experience with ML libraries such as TensorFlow, Keras, and Scikit-learn.

Experience with data manipulation and visualization libraries such as pandas, matplotlib, seaborn, or Plotly.

Strong math and analytical skills.

Preferred Qualifications And Skills

Experience with databases, such as SQL Server, AWS RDS, DynamoDB.

Experience solving streaming and batch data processing problems at scale.

Experience with ML cloud tools such as Databricks, Amazon Personalize, Comprehend, SageMaker, and Rekognition.

Experience with integration of input data from a variety of sources.

What’s In It For You

When you join CoStar Group, you’ll experience a collaborative and innovative culture working alongside the best and brightest to empower our people and customers to succeed.

We offer you generous compensation and performance-based incentives. CoStar Group also invests in your professional and academic growth with internal training, tuition reimbursement, and an inter-office exchange program.

Our Benefits Package Includes (but Is Not Limited To)

Comprehensive healthcare coverage: Medical / Vision / Dental / Prescription Drug

Life, legal, and supplementary insurance

Virtual and in person mental health counseling services for individuals and family

Commuter and parking benefits

401(K) retirement plan with matching contributions

Employee stock purchase plan

Paid time off

Tuition reimbursement

On-site fitness center and/or reimbursed fitness center membership costs (location dependent), with yoga studio, Pelotons, personal training, group exercise classes

Access to CoStar Group’s Diversity, Equity, & Inclusion Employee Resource Groups

Complimentary gourmet coffee, tea, hot chocolate, fresh fruit, and other healthy snacks

We welcome all qualified candidates who are currently eligible to work full-time in the United States to apply. However, please note that CoStar Group is not able to provide visa sponsorship for this position.

This position offers a base salary range of $143,000 - $231,000 , based on relevant skills and experience and includes a generous benefits plan.

CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing

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