About the role
Weave is seeking a Machine Learning Ops Engineer to join their self-empowered teams and tackle fun challenges.
The role involves working with a team of talented developers focused on distributed backend systems, data, scalability, and ongoing development.
The MLOps Team aims to enable product innovation by simplifying the process for developers to build AI-powered applications that require large data sets.
The position is fully remote in the US, with an option to work in the office if located near the Lehi, UT Headquarters.
The engineer will design and develop machine learning infrastructure, tooling, and models to enhance user experiences.
Responsibilities include helping teams understand the data lifecycle, building internal products for AI integration, and consulting on machine learning patterns and tradeoffs.
The role requires building scalable services for data integration and contributing to product functionality for large data traffic.
The engineer will write high-quality, sustainable code and collaborate with others to promote best practices.
The position involves working in a cloud environment and translating product goals into actionable engineering plans.
About the company
Weave is a cloud-based software provider that offers a comprehensive suite of products to help businesses streamline their operations and improve customer experiences. The company's solutions span various industries, including healthcare, home services, and small businesses.
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