Homes.com · 1 day ago
Homes.com - Lead Machine Learning Engineer
Arlington, VA
Full-time
Hybrid
Senior Level
5+ years expHomes.com, a subsidiary of CoStar Group, is a rapidly growing real estate portal focused on innovation and setting industry standards. The Lead Machine Learning Engineer will be responsible for developing and deploying advanced computer vision models and integrating them into broader machine learning systems.
AdvertisingLead GenerationReal EstateReputation
Responsibilities
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 TensorFlow
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 SageMaker, 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 NoSQL/document databases (e.g., DynamoDB)
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
Qualification
Required
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 TensorFlow
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
Experience with cloud-based ML and computer vision platforms such as Amazon SageMaker, 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 NoSQL/document databases (e.g., DynamoDB)
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, 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
Company
Homes.com
Real estate website for finding homes, condos and townhouses for sale and rent, in a neighborhood you love, or near the schools you desire. It is a sub-organization of CoStar Group.
501-1000 employees
H1B Sponsorship
Homes.com has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2021 (1)
2020 (4)
Funding
Current Stage
Late StageTotal Funding
$3.85MKey Investors
Hummer Winblad Venture Partners
2021-04-14Acquired
2000-03-07Series A· $3.85M
Leadership Team
Ana Nuñez
Team Lead, Strategic Partnerships, MLS Data
Recent News
2025-12-20
HousingWire.com
2025-12-14
2025-12-12
Company data provided by crunchbase