Senior ML Platform Engineer — Production Kubernetes

Spotify; Toronto; Hybrid; CAD 100,000 - 130,000; Full time

Job summary

A leading audio streaming service is looking for an experienced Machine Learning Infrastructure Engineer in Toronto. This role involves contributing to the ML Platform SDK, managing Kubernetes clusters, and collaborating on ML solutions. Candidates should have over 6 years of experience and knowledge in deep learning and infrastructure management. The position offers flexibility with remote work options, fostering an inclusive environment for diverse voices.

Qualifications

• 6+ years of hands-on experience implementing production ML infrastructure.
• Knowledge of deep learning fundamentals and algorithms.
• Experience with modular code design.

Responsibilities

• Contribute to Spotify ML Platform SDK and build tools.
• Collaborate on scalable ML platform tooling solutions.
• Manage and maintain Kubernetes clusters for ML workloads.

Skills

Production ML infrastructure

Python

Go

Deep learning algorithms

Kubernetes

Agile software processes

Tools

Huggingface

Ray

PyTorch

TensorFlow

Job description

A leading audio streaming service is looking for an experienced Machine Learning Infrastructure Engineer in Toronto. This role involves contributing to the ML Platform SDK, managing Kubernetes clusters, and collaborating on ML solutions. Candidates should have over 6 years of experience and knowledge in deep learning and infrastructure management. The position offers flexibility with remote work options, fostering an inclusive environment for diverse voices.