Machine Learning Ops Engineer

Position Overview

• Location Type: Remote (with option to work in Lehi, UT Headquarters)
• Employment Type: Full-Time
• Salary: Not provided

Weave is seeking engineers passionate about challenging projects who can contribute both technically and non-technically. You'll join a team of talented developers focused on distributed backend systems, data, scalability, and continuous development. This role will contribute to making machine learning more accessible by designing how teams build AI-powered features at Weave. The MLOps Team's mission is to enable product innovation by simplifying the process for developers to build AI applications that require access to large datasets. We handle data for hundreds of millions of people daily, and our teams are cross-functional, agile, and highly autonomous.

Reports To

• Engineering Director

Requirements

• Experience with distributed backend systems
• Interest in data and scalability
• Desire for continuous development
• Ability to contribute in both technical and non-technical ways

Responsibilities

• Design and develop machine learning infrastructure, tooling, and models.
• Help product and development teams understand the data lifecycle.
• Build internal products and platforms to enable teams to incorporate AI.
• Consult with teams on common patterns and tradeoffs of machine learning.
• Guide teams through creating excellent customer experiences.
• Build scalable, resilient services for data integration and platform extensions.
• Contribute to the evolution of product functionality supporting large amounts of data and traffic.
• Write high-quality, performant, sustainable, and testable code.
• Coach and collaborate with other team members.
• Work in a cloud environment, considering distributed components and services.
• Translate product goals into actionable engineering plans.

Company Information

• The company handles data for hundreds of millions of people daily.
• Teams are cross-functional, agile, and highly autonomous.