Machine Learning Engineer II

CoStar Group

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Arlington, VA
Salary
$126,000–$193,000 / yr
Posted
13 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $205k
This role $160k
$110k most similar roles pay here $279k

This role pays less than 80% of similar roles. Most pay $167,175–$243,600 — the shaded band above. At the midpoint, this role pays about $160k versus about $205k for comparable roles.

Based on 240 similar postings.

Employer

About CoStar Group

CoStar Group is the leading provider of commercial real estate information, analytics, and online marketplaces, including CoStar, Apartments.com, and LoopNet platforms. Industry: Commercial Real Estate Data & Analytics

CoStar Group currently has 65 open roles on FindRole.

Listed pay typically runs $134,500–$191,500 across 64 roles with salary data.

Most-posted roles

View all roles at CoStar Group

At a glance

TL;DR · Machine Learning Engineer II

Machine Learning Engineer II - Homes.com - Arlington, VA joins the team to build and scale production-grade machine learning solutions that enhance product offerings and customer experience. The role involves collaborating with software engineers, product leaders, and business stakeholders to design, test, and deploy scalable, reusable models while evolving a cloud-based machine learning platform. Day-to-day tasks include solving practical problems using large datasets and improving the company's internal infrastructure. Candidates must possess professional experience in machine learning or data science, specifically utilizing Python for development. Key technical requirements include expertise in recommendation systems, computer vision, supervised and unsupervised learning, feature engineering, and deep learning frameworks like PyTorch or TensorFlow. Preferred skills include proficiency with Databricks, Amazon Personalize, SageMaker, SQL-based relational databases, DynamoDB, and solving streaming and batch data processing problems at scale within the real estate marketplace domain.

What does a Machine Learning Engineer earn in Virginia?

Median $211200 from 35 postings across 3 companies.

See salary data

What you'll do

  • Design, build, test, and deploy scalable, reusable, and maintainable machine learning models.
  • Develop production-grade ML solutions to enhance product features and customer experience.
  • Manage and optimize large-scale datasets for model training and deployment.
  • Improve and evolve the company's cloud-based machine learning platform.
  • Solve practical business problems by implementing recommendation systems and computer vision techniques.
  • Handle streaming and batch data processing problems at scale.
  • Optimize ML models to ensure high performance in a production environment.

What we're looking for

  • Bachelor's degree from an accredited, not-for-profit, in-person college or university.
  • 3+ years of professional experience as a Machine Learning Engineer, Data Scientist, or related role.
  • 2+ years of programming experience with Python.
  • Strong foundations in ML concepts including supervised/unsupervised learning, model evaluation, feature engineering, and PyTorch or TensorFlow.
  • Experience with recommendation systems and (preferably) computer vision.
  • Experience with ML cloud tools such as Databricks, Amazon Personalize, or SageMaker (preferred).
  • Experience with SQL-based relational databases or document-based databases (preferred).
  • Experience solving streaming and batch data processing problems at scale (preferred).

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