The Hendrix Serving team at Spotify is looking for a Backend Engineer to join us in building a robust platform for serving machine learning models. Our goal is to simplify the process of getting ML models into production. You will play a key role in shaping how the world experiences Spotify through ML-powered features by developing infrastructure that powers Spotify’s recommendations. Your work will involve backend services, data pipeline optimization, and enabling teams to deliver valuable predictions.

What You’ll Do

• Collaborate with Machine Learning Engineers (MLE), researchers, and various product teams to deliver scalable inference services 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.
• Designs, documents and implements reliable, testable and maintainable solutions ML infrastructure capabilities.

Who You Are

• Hands-on experience implementing production backend infrastructure at scale in Python, Java, or similar languages
• You may have experience with tools like TensorFlow or PyTorch
• You may have a general understanding of data pipelines
• You have experience with agile software processes and modular code design following industry standards

Where You’ll Be

• This role is based in Toronto, CA.
• 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.