Job Description
CoStar Group is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces. Included in the S&P 500 Index, 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
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.
This Machine Learning Engineer role focuses on building and scaling production-grade machine learning solutions that directly enhance CoStar’s products and customer experience. The engineer will work closely with software engineers, product leaders, and business stakeholders to develop, deploy, and optimize ML models across large-scale datasets, while helping evolve CoStar’s cloud-based machine learning platform.
This position is located in Arlington, VA and will have a 4-day onsite schedule Monday-Thursday, with Fridays work from home.
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 improves 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, in-person college/university
A track record of commitment to prior employers
3+ years of professional development experience as Machine Learning Engineer, Data Scientist or related role
2+ years of programming experience with Python
Experience with recommendation systems and (preferably) computer vision
Strong foundations in ML concepts including supervised/unsupervised learning, model evaluation, feature engineering, and familiarity with deep learning frameworks (PyTorch or TensorFlow)
PREFERRED SKILLS
Experience with ML cloud tools such as Databricks, Amazon Personalize, SageMaker
Experience with SQL-based relational databases (e.g. AWS RDS) or document-based databases (e.g. DynamoDB).
Experience solving streaming and batch data processing problems at scale
Experience building, deploying and optimizing ML models
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 and tuition reimbursement.
Our benefits package includes (but is not limited to):
Comprehensive healthcare coverage: Medical / Vision / Dental / Prescription Drug
Life, legal, and supplementary insurance
Commuter and parking benefits
401(K) retirement plan with matching contributions
Employee stock purchase plan
Paid time off
Tuition reimbursement
Complimentary gourmet coffee, tea, hot chocolate, prepared foods, 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.
CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing.
The final salary or hourly rate offered for this role with fall within the range set forth below based on a variety of factors, including but not limited to, geographic location, skills, and competencies.
Base Compensation: $126,000.00-$193,000.00 Annually
#LI-AV1
#Homes.com
CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing
Skills Required
- Bachelor's degree from an accredited, not-for-profit, in-person college or university
- Track record of commitment to prior employers
- 3+ years of professional development experience as a Machine Learning Engineer, Data Scientist, or in a related role
- 2+ years of programming experience with Python
- Experience with recommendation systems
- Strong foundations in supervised and unsupervised learning, model evaluation, and feature engineering
- Familiarity with deep learning frameworks such as PyTorch or TensorFlow
- Experience with computer vision
- Experience with Databricks, Amazon Personalize, or Amazon SageMaker
- Experience with SQL-based relational databases such as AWS RDS or document-based databases such as DynamoDB
- Experience solving streaming and batch data processing problems at scale
- Experience building, deploying, and optimizing machine learning models
CoStar Group Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about CoStar Group and has not been reviewed or approved by CoStar Group.
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Healthcare Strength — Healthcare coverage is described as extensive, spanning medical, dental, vision, and prescription plans, with additional life and supplementary insurance options. Mental health counseling and wellness incentives are also part of the package, reinforcing the sense of strong health support.
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Wellbeing & Lifestyle Benefits — Lifestyle perks include commuter and gym reimbursements and daily lunch, alongside office snacks/drinks and company social events. Fitness stipends and wellness programs add to the perceived day-to-day value of the rewards package.
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Equity Value & Accessibility — Opportunities to become a shareholder via stock-related programs are highlighted as a meaningful element of total rewards. Equity and employee stock purchase options are positioned as an additional path to value beyond base pay.
CoStar Group Insights
What We Do
CoStar Group (NASDAQ: CSGP) is a global leader in commercial real estate information, analytics, online marketplaces, and 3D digital twin technology. Founded in 1986, CoStar Group is dedicated to digitizing the world’s real estate, empowering all people to discover properties, insights, and connections that improve their businesses and lives. CoStar Group’s major brands include CoStar, a leading global provider of commercial real estate data, analytics, and news; LoopNet, the most trafficked commercial real estate marketplace; Apartments.com, the leading platform for apartment rentals; Homes.com, the fastest-growing residential real estate marketplace; and Domain, one of Australia’s leading property marketplaces. CoStar Group’s industry-leading brands also include Matterport, a leading spatial data company whose platform turns buildings into data to make every space more valuable and accessible, STR, a global leader in hospitality data and benchmarking; Ten-X, an online platform for commercial real estate auctions and negotiated bids; and OnTheMarket, a leading residential property portal in the United Kingdom.
