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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.
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