Lead Machine Learning R&D Engineer

CoStar Group

Confirmed live 2 days ago Trusted

Remote

Quick summary

Work type: Remote
Location: Sunnyvale, CA
Salary: $270,000–$307,000 / yr
Posted: 120 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $229k

This role $288k

$170k most similar roles pay here $322k

This role pays more than 92% of similar roles. Most pay $202,800–$254,750 — the shaded band above. At the midpoint, this role pays about $288k versus about $229k 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 $133,000–$190,000 across 63 roles with salary data.

Most-posted roles

View all roles at CoStar Group

At a glance

TL;DR · Lead Machine Learning R&D Engineer

Role Posting Log in to save

As a Matterport - Lead Machine Learning R&D Engineer, you will join the research and development team to advance a spatial computing platform that transforms physical buildings into digital twins. You will conduct cutting-edge research in machine learning, computer vision, and 3D data processing to develop novel algorithms for spatial understanding. Your daily work involves designing and optimizing scalable ML systems and pipelines to process large-scale 3D datasets, including point clouds, meshes, and images. To succeed, you must be proficient in Python and PyTorch while possessing a deep understanding of deep learning architectures like CNNs and Transformers, along with experience using NumPy and Pandas. You will solve complex problems involving neural rendering, SLAM, and depth estimation to improve how users interact with and analyze real estate data within the platform's core infrastructure.

Skills

Machine Learning Computer Vision 3D Data Processing Python PyTorch NumPy Pandas Deep Learning CNNs Transformers Neural Rendering Gaussian Splatting NeRFs SLAM Point Cloud Processing Mesh Processing MLOps AWS Azure GCP

What you'll do

Conduct research in machine learning, computer vision, and 3D data processing to develop novel algorithms for spatial understanding.
Design and optimize scalable ML systems and pipelines for processing large-scale point clouds, meshes, and images.
Translate research prototypes into production-ready solutions integrated into the core platform.
Evaluate and benchmark model performance to drive iterative improvements in machine learning capabilities.
Identify and apply emerging industry trends and techniques to solve complex real-world 3D data challenges.
Contribute to the architectural design and strategic roadmap of the company's ML systems.
Generate intellectual property for the company through patents and technical publications.

What we're looking for

Bachelor's degree from an accredited, not-for-profit university or college.
Master's or Ph.D. in Computer Science, Computer Vision, Machine Learning, Robotics, or a related quantitative field.
3+ years of experience in machine learning research and development with a focus on computer vision or 3D data processing.
5+ years of industry experience in applied machine learning research and development, specifically shipping models to production.
Proficiency in PyTorch and strong programming skills in Python.
Experience with data manipulation and analysis libraries such as NumPy and Pandas.
Expertise in areas like neural rendering, 3D computer vision, image/video generation, or semantic understanding.
Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.

Hybrid

Save

Senior ML Ops Engineer

CoStar Group

Sunnyvale, CA 91 days ago $173,000–$253,000

MLOps Python TensorFlow PyTorch Quantization Pruning Distillation Neural Architecture Search CI/CD AWS Azure GCP Git Docker Kubernetes Airflow Temporal Kubeflow Computer Vision

Hybrid

Save