ML Engineer II — Real Estate AI & Cloud Solutions (Hybrid)

CoStar Group, Inc.; Arlington (VA); Hybrid; USD 126,000 - 193,000; Full time

Benefits offered by this job

Healthcare

401(k)

Stock purchase plan

Tuition reimbursement

Paid time off

Commuter benefits

Job summary

CoStar Group in Arlington, VA is seeking a Machine Learning Engineer II for Homes.com to design, deploy and scale production ML models across large-scale datasets. You will collaborate with software engineers, product leaders and business stakeholders to evolve a cloud-based ML platform and improve customer experiences, with a 4-day onsite schedule and Fridays remote.

Candidates have 3+ years of ML engineering, Python, and deep learning framework experience; knowledge of recommendation systems

Qualifications

• 3+ years of professional development experience in ML engineering or related field.
• 2+ years of programming experience with Python.
• Experience with recommendation systems and preferably computer vision.
• Strong ML foundations including supervised/unsupervised learning and feature engineering.

Responsibilities

• Collaborate on improving CoStar’s cloud-based ML environment.
• Design, build, test and deploy scalable ML models for large datasets.
• Work with engineers, product owners and leadership to translate problems into ML solutions.
• Understand CoStar’s business and how ML can improve outcomes.

Skills

Python

Machine Learning

Data Science

Deep Learning

Distributed Systems

Education

Bachelor's degree

Tools

PyTorch

TensorFlow

Databricks

SageMaker

AWS RDS

DynamoDB

Job description

CoStar Group in Arlington, VA is seeking a Machine Learning Engineer II for Homes.com to design, deploy and scale production ML models across large-scale datasets. You will collaborate with software engineers, product leaders and business stakeholders to evolve a cloud-based ML platform and improve customer experiences, with a 4-day onsite schedule and Fridays remote.

Candidates have 3+ years of ML engineering, Python, and deep learning framework experience; knowledge of recommendation systems