Senior ML Engineer — Scale Production ML for Real Estate

Homes.com

Arlington (TX)

Hybrid

USD 166,000 - 204,000

Full time

9 days ago
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Benefits offered by this job

Healthcare
401K
Stock purchase plan
Paid time off
Tuition reimbursement
On-site snacks

Job summary

Homes.com, a CoStar Group company, seeks a Machine Learning Engineer to build and scale production-grade ML solutions that enhance our products and user experiences. You will work with software engineers, product leaders, and business stakeholders to deploy models across large datasets on our cloud platform.

The role requires 5+ years in ML/DS, 3+ years Python, and experience with recommender systems or computer vision.

Qualifications

  • Bachelor's degree required from an accredited institution.
  • 5 years of professional development experience as Machine Learning Engineer or related role.
  • 3 years of programming experience with Python.
  • Experience with recommendation systems and (preferably) computer vision.
  • Strong foundations in ML concepts including supervised/unsupervised learning, model evaluation, and feature engineering.

Responsibilities

  • Collaborate on the continued improvement of CoStar's cloud-based machine learning environment.
  • Design, build, test and deploy scalable, reusable and maintainable models that handle large amounts of data.
  • Collaborate with other engineers, product owners, and leadership to create ML solutions that solve practical problems and improve our customer's experience.
  • Gain an understanding of the CoStar business and how ML can improve things.

Skills

Python
Machine Learning
Recommendation systems
Computer vision
PyTorch / TensorFlow

Education

Bachelor's degree

Tools

Databricks
SageMaker

Job description

Homes.com, a CoStar Group company, seeks a Machine Learning Engineer to build and scale production-grade ML solutions that enhance our products and user experiences. You will work with software engineers, product leaders, and business stakeholders to deploy models across large datasets on our cloud platform.

The role requires 5+ years in ML/DS, 3+ years Python, and experience with recommender systems or computer vision.

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