Homes.com - Lead Machine Learning Engineer

Description

Requirements

• Experience integrating computer vision models into broader machine learning systems, including multimodal or LLM-vision workflows
• A demonstrated record of delivering complex technical solutions and sustained ownership of long-running initiatives
• Feature extraction, embedding models, and image similarity search
• 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
• Hands-on experience developing and deploying computer vision models, including:
• Demonstrated experience deploying, monitoring, and optimizing computer vision models in production, with an understanding of model lifecycle management
• Proficiency with SQL databases (e.g., AWS RDS) or NoSQL/document databases (e.g., DynamoDB)
• 5+ years of professional experience as a Machine Learning Engineer, Computer Vision Engineer, or Applied Data Scientist
• Bachelor's degree required from an accredited, not-for-profit, in-person college/university
• Experience building and maintaining large-scale image pipelines, including dataset curation, annotation tooling, and data augmentation
• Vision transformers (e.g., ViT), CLIP, diffusion models, or other multimodal architectures
• Experience providing technical leadership, establishing best practices, or mentoring other engineers
• A track record of commitment to prior employers
• Familiarity with modern MLOps practices for CV, including model registries, feature stores, CI/CD for ML, observability, and GPU performance tuning
• Proficiency with deep learning frameworks such as PyTorch or TensorFlow
• 3+ years of programming experience with modern languages such as Python, with strong proficiency in CV/ML libraries
• Experience developing high-throughput image processing workflows in both streaming and batch environments
• Image classification, object detection, and segmentation

Benefits

• 401(K) retirement plan with matching contributions
• Complimentary gourmet coffee, tea, hot chocolate, fresh fruit, and other healthy snacks
• Comprehensive healthcare coverage: Medical / Vision / Dental / Prescription Drug
• Tuition reimbursement
• Commuter and parking benefits
• Access to CoStar Group’s Diversity, Equity, & Inclusion Employee Resource Groups
• Virtual and in person mental health counseling services for individuals and family
• Life, legal, and supplementary insurance
• Employee stock purchase plan
• Paid time off
• On-site fitness center and/or reimbursed fitness center membership costs (location dependent), with yoga studio, Pelotons, personal training, group exercise classes

Training + Development

Interview process

Visa Sponsorship

Security clearance