Machine Learning Engineer - ML/AI Platform

What You'll Do

• Contribute to Spotify ML Platform SDK and build tools for various ML operations.
• Collaborate with Machine Learning Engineers (MLE),  researchers, and various product teams to deliver scalable ML platform tooling solutions that meet the timelines and specifications of given requirements.
• Work independently and collaboratively on squad projects that often requires learning and applying new technologies that may go beyond existing skillsets.
• Manage and maintain large scale production Kubernetes clusters for ML workloads, including ML platform infrastructure and necessary dev ops.
• Designs, documents and implements reliable, testable and maintainable solutions ML infrastructure capabilities.

Who You Are

• You have 3+ years of hands-on experience productionize ML models either by collaborating with Knowledge of deep learning fundamentals, algorithms, and open-source tools such as Huggingface, Ray, PyTorch or TensorFlowGood to have an understanding of distributed training leveraging GPUs and Kubernetes
• You have a general understanding of data processing for ML 
• You have experience with agile software processes and modular code design following industry standards
• You have hands-on experience implementing and maintaining production ML systems in Python, Scala, or similar languages

Where You'll Be

• This role is based in Toronto, Canada
• We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.