Lead Machine Learning Engineer

– Lead Machine Learning Engineer

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.

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  After its acquisition in 2014,  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   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  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 home buying within a tried-and-true, award-winning company.

Learn more about  .

This position is located in Arlington, VA and will have a 4-day onsite schedule Monday-Thursday, with Fridays work from home.

BASIC QUALIFICATIONS:

• Bachelor’s degree required from an accredited, not-for-profit, in-person college/university
• A track record of commitment to prior employers
• A demonstrated record of delivering complex technical solutions and sustained ownership of long-running initiatives
• 5 years of professional experience as a Machine Learning Engineer, Computer Vision Engineer, or Applied Data Scientist
• 3 years of programming experience with modern languages such as Python, with strong proficiency in CV/ML libraries
• Hands‑on experience developing and deploying computer vision models, including:
• Image classification, object detection, and segmentation
• Vision transformers (e.g., ViT), CLIP, diffusion models, or other multimodal architectures
• Feature extraction, embedding models, and image similarity search
• Proficiency with deep learning frameworks such as PyTorch or Tensor Flow
• Experience integrating computer vision models into broader machine learning systems, including multimodal or LLM‑vision workflows
• Strong analytical and mathematical foundation, particularly in linear algebra, probability, and optimization

PREFERRED

SKILLS:

• Experience with cloud‑based ML and computer vision platforms such as Amazon Sage Maker, Bedrock, Databricks, or EC2 GPU environments
• Experience building and maintaining large‑scale image pipelines, including dataset curation, annotation tooling, and data augmentation
• Proficiency with SQL databases (e.g., AWS RDS) or No
  
  SQL/document databases (e.g., Dynamo
  
  DB)
• Experience developing high‑throughput image processing workflows in both streaming and batch environments
• Demonstrated experience deploying, monitoring, and optimizing computer vision models in production, with an understanding of model lifecycle management
• Familiarity with modern MLOps practices for CV, including model registries, feature stores, CI/CD for ML, observability, and GPU performance tuning
• Experience providing technical leadership, establishing best practices, or mentoring other engineers

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…