Matterport - Senior Manager, Machine Learning Production Engineering - Sunnyvale
Listed on 2026-01-12
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IT/Tech
Machine Learning/ ML Engineer, AI Engineer, Data Engineer
Matterport - Senior Manager, Machine Learning Production Engineering - Sunnyvale
Job Description
Company Overview:
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 been living and breathing the world of real estate information and online marketplaces for over 35 years, giving us the perspective to create truly unique and valuable offerings to our customers.
We’ve continually refined, transformed, and perfected our approach to our business, creating a language that has become standard in our industry, for our customers, and even our competitors. We continue that effort today and are always working to improve and drive innovation. This is how we deliver for our customers, our employees, and investors. By equipping the brightest minds with the best resources available, we provide an invaluable edge in real estate.
About MATTERPORT :
Matterport is leading the digital transformation of the built world. Our groundbreaking spatial computing platform turns buildings into data making every space more valuable and accessible. Millions of buildings in more than 170 countries have been transformed into immersive Matterport digital twins to improve every part of the building lifecycle from planning, construction, and operations to documentation, appraisal, and marketing.
#matterport Learn more about Matterport Role
Description:
Matterport seeks an enthusiastic Sr. Manager of ML Production Engineer to join our Vision & Learning team. You’ll be responsible for leading and managing the ML Production Engineering function and engineering team responsible for Matterport’s 3D reconstruction pipeline. The ideal candidate is an individual who thrives in dynamic environments orchestrating high-talent engineers to optimize ML Ops and Dev Ops for new and existing capabilities.
You will collaborate with machine learning engineers and data scientists to design and implement efficient and scalable machine learning pipelines, monitoring and testing frameworks, and data management processes. You will work with software engineers to ensure the seamless integration of machine learning models into our applications and services. This position will report to the software Senior Vice President for Vision & Learning.
Responsibilities:
Bring technical experience & leadership to critical systems including Cloud Architecture, Machine Learning Operations, back-end Software Engineering, and Distributed Systems. Work cross-functionally to establish product definition and design as new capabilities are brought from development into production. Lead and manage cross-functional engineering projects with multiple stakeholders, with regular reporting to executive stakeholders. Lead by example as a working manager with strong hands-on engineering fundamentals.
Work closely with internal and contracted data providers in development of dataset for training production networks as well as development networks. Lead and manage senior engineers empathically; maximizing high talent individuals in dynamic product environments. Work with cross-functional teams across Product, Sales, Customer Success and Business Development Advocate for new technical architecture and innovation Implement and refine development and cross-functional processes Hire, mentor, lead, and coach senior and principal engineers to meet their full potential Act as a leader for implementing best-practices across the organization.
Qualifications:
Master’s degree in Computer Science, Electrical Engineering or a related field, from an accredited, not-for-profit University or College, or equivalent experience. A track record of commitment to prior employers. 5 - 8+ years of experience in software engineering, Dev Ops & ML Ops, or related fields. Strong proficiency in Python and experience with machine learning frameworks such as Tensor Flow, PyTorch,…
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