Lead Machine Learning Engineer

Lead Machine Learning Engineer

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 our investors. By equipping the brightest minds with the best resources available, we provide an invaluable edge in real estate.

CoStar’s new platform is already one of the fastest growing real estate portals in the industry. We are driven to be #1. We pride ourselves on continually improving, innovating and setting the standard for property search and marketing experiences. 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.

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

• Bachelor’s degree required from an accredited not‑for‑profit in‑person college or 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 and 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

• 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

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.

• Comprehensive healthcare coverage:
  Medical / Vision / Dental / Prescription Drug
• Life, legal and supplementary insurance
• Virtual and…