Job Details

Senior Manager ML Production Engineering

CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces. Included in the S&P 500 Index and the NASDAQ 100, CoStar Group is on a mission to digitize the world's real estate, empowering all people to discover properties, insights, and connections that improve their businesses and lives. We have over 37 years of experience in real estate information and online marketplaces, creating unique and valuable offerings for our customers.

Role Description

CoStar Matterport seeks an enthusiastic Senior Manager of ML Production Engineering to join our Vision & Learning team. You will lead and manage the ML Production Engineering team responsible for Matterport's 3D reconstruction pipeline, collaborating with machine learning engineers, data scientists, and software engineers to design scalable ML pipelines, monitoring frameworks, and data management processes. This position reports to the Vice President of Vision & Learning.

Responsibilities

1. Provide technical leadership in Cloud Architecture, ML Operations, Software Engineering, and Distributed Systems.
2. Work cross-functionally to define and design new capabilities for production deployment.
3. Lead and manage engineering projects with multiple stakeholders and report to executives.
4. Contribute hands-on engineering expertise as a working manager.
5. Collaborate with data providers for dataset development for training and production networks.
6. Manage and mentor senior engineers, fostering high performance.
7. Advocate for innovative technical architectures and practices.
8. Implement and refine development processes.
9. Recruit, mentor, and coach engineering talent.

Qualifications

• Master's degree in Computer Science, Electrical Engineering, or related field, or equivalent experience.
• 5-8+ years of experience in software engineering, DevOps, or ML Ops.
• Proficiency in Python and experience with frameworks like TensorFlow, PyTorch, etc.
• Knowledge of ML pipelines, containerization (Docker, Kubernetes), and cloud services (AWS).
• Experience with data management, Infrastructure as Code tools, and software engineering best practices.
• Excellent communication and collaboration skills.

What We Offer

Join a collaborative, innovative culture with competitive compensation, professional growth opportunities, comprehensive benefits, and a pay range of $160,000 to $210,000, based on skills and experience. We support diversity, equity, and inclusion and are an equal opportunity employer.