Platform Engineer II - Machine Learning Infrastructure - Remote

Overview

The Hendrix ML Platform team is dedicated to developing a robust, Spotify-wide platform for training and serving machine learning models. This platform streamlines the productionization of AI and ML models by mitigating the incidental complexities involved in creating backend services for serving predictions and training models.

In Short

• Manage and maintain large scale production Kubernetes clusters for ML workloads.
• Contribute to Spotify ML Platform SDK and build tools for various ML operations.
• Collaborate with Machine Learning Engineers, researchers, and product teams.
• Work independently and collaboratively on squad projects.
• Design, document, and implement reliable ML infrastructure capabilities.

Requirements

• 3+ years of hands-on experience with production ML infrastructure.
• Experience with public cloud providers (GCP, AWS, or Azure).
• Knowledge of deep learning fundamentals and open-source tools.
• Understanding of distributed training leveraging GPUs and Kubernetes.
• General understanding of data processing for ML.
• Experience with agile software processes and modular code design.

Benefits

• Flexibility to work from home with some in-person meetings.