Senior Machine Learning Engineer

Position Overview

• Location Type: Remote
• Employment Type: Full-Time
• Salary: Not provided

Weave is seeking engineers who enjoy challenging problems and contributing in both technical and non-technical ways. This role involves joining a team focused on distributed backend systems, data, scalability, and continuous development. You’ll contribute to designing how teams build out AI-powered features at Weave, making machine learning more accessible and easier to discover. Teams are cross-functional and highly autonomous, owning and acting in Weave’s best interest. Your work will impact how customers experience Weave while collaborating closely with a skilled team.

Purpose

The Machine Learning Team's mission is to enable product innovation by making it painless for developers to build AI-powered applications that require access to large sets of data. Machine learning can be challenging, but Weave is striving to democratize access to the tools and technology that power it, allowing teams to build cutting-edge features safely and responsibly without a PhD in Data Science.

What You Will Own

• Design and Develop machine learning infrastructure, tooling, and models to help teams deliver world-class experiences.
• Help product and development teams understand the data lifecycle and the inherent experimental nature of machine learning.
• Build internal products and platforms to enable teams to incorporate AI into their features and customer-facing products.
• Consult with teams to help them understand common patterns, anti-patterns, and tradeoffs of machine learning. Guide them through creating excellent customer experiences end to end.
• Build scalable, resilient services to support data integration, event processing, and platform extensions.
• Contribute to the continued evolution of product functionality that services large amounts of data and traffic.
• Write code that is high-quality, performant, sustainable, and testable.
• Coach and collaborate inside and outside the team.

What You’ll Need to Accomplish the Job

• High integrity, team-focused approach, and collaboration skills.
• Ability to work in a cloud environment, considering the implementation of functionality through several distributed components and services.
• Ability to translate product goals into actionable engineering plans.

Requirements

• Not explicitly stated in the text, but likely includes experience with machine learning, backend development, and cloud technologies.

Responsibilities

• Not explicitly stated in the text, but likely includes designing, developing, and deploying machine learning models and infrastructure.

Application Instructions

• Not provided in the text