Staff Machine Learning Engineer - Platform - Remote

Overview

As a Staff Machine Learning Engineer, you will work closely with applied science practitioners and engineers to rapidly build, deploy, and iterate high-quality ML infrastructure solutions at scale, ensuring both reliability and effectiveness.

In Short

• Drive core components of our ML Platform technical roadmap.
• Design and build MLOps solutions with automated pipelines.
• Develop, maintain, and enhance frameworks for machine learning.
• Collaborate with ML model builders and application owners.
• Support the development of new patterns for ML model deployment.

Requirements

• At least 10 years of software engineering experience.
• Experience architecting and developing ML infrastructure.
• Experience with major cloud platforms, preferably AWS.
• Experience with MLOps tooling such as KubeFlow or AWS Sagemaker.

Benefits

• Collaborative and inclusive workplace.
• Competitive salary and benefits.
• Opportunity to work with cutting-edge technology.