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Lead Machine Learning Engineer

Job in Arlington, Arlington County, Virginia, 22201, USA
Listing for: CoStar Group, Inc.
Full Time position
Listed on 2025-12-18
Job specializations:
  • IT/Tech
    Data Engineer, Machine Learning/ ML Engineer, AI Engineer
Job Description & How to Apply Below
Position: Homes.com - Lead Machine Learning Engineer

Lead Machine Learning Engineer –

Overview

is a CoStar Group company dedicated to building a cutting‑edge real‑estate portal. With more than 35 years of experience in real‑estate data, analytics, and marketplaces, CoStar Group empowers users worldwide to discover properties, insights, and connections that improve their businesses and lives.

Location

Arlington, VA – 4‑day onsite schedule Monday‑Thursday, Fridays remote.

Basic Qualifications
  • Bachelor's degree 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
  • Experience with 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
Benefits
  • 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, Peloton, 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

CoStar Group is an Equal Employment Opportunity Employer. We maintain a drug‑free workplace and perform pre‑employment substance abuse testing. All qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

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