Senior ML Platform Engineer (MLOps) - Remote-Eligible

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

Job summary

A leading audio streaming service in Toronto is seeking an experienced Machine Learning Infrastructure Engineer. You'll contribute to the ML Platform SDK, collaborate on scalable solutions, and manage production Kubernetes clusters. Ideal candidates will have 6+ years of experience with ML infrastructure, knowledge of deep learning tools, and the ability to work flexibly from home. Passion for innovation in music and inclusivity are essential.

Qualifications

• 6+ years of hands-on experience in ML infrastructure implementation.
• Knowledge of deep learning fundamentals and tools.
• Experience with distributed training leveraging GPUs and Kubernetes.

Responsibilities

• Contribute to the Spotify ML Platform SDK.
• Collaborate with MLEs and product teams for scalable ML solutions.
• Manage production Kubernetes clusters for ML workloads.

Skills

Python

Go

Kubernetes

Deep learning

Agile processes

Tools

Huggingface

Ray

PyTorch

TensorFlow

Job description

A leading audio streaming service in Toronto is seeking an experienced Machine Learning Infrastructure Engineer. You'll contribute to the ML Platform SDK, collaborate on scalable solutions, and manage production Kubernetes clusters. Ideal candidates will have 6+ years of experience with ML infrastructure, knowledge of deep learning tools, and the ability to work flexibly from home. Passion for innovation in music and inclusivity are essential.