Spotify
Machine Learning Engineer, MLOps
Found: December 4, 2025
This role is based in Toronto, Canada with flexibility to work from home.
What you'll do:
- Contribute to Spotify ML Platform SDK and build tools for various ML operations.
- Collaborate with Machine Learning Engineers, researchers, and product teams.
- Manage and maintain large scale production Kubernetes clusters for ML workloads.
- Design, document, and implement reliable ML infrastructure solutions.
Who you are:
- 3+ years of experience in productionizing ML models.
- Knowledge of deep learning fundamentals and open-source tools like PyTorch or TensorFlow.
- Experience with agile software processes and modular code design.
- Hands-on experience with production ML systems in Python, Scala, or similar languages.
Where you'll be:
This role is based in Toronto, Canada with some in-person meetings and flexibility to work from home.
