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 Vice President for Vision & Learning.
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What you will do:
- 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
