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Design, develop, and optimize systems for large language models while collaborating with a multi-disciplinary team, and manage infrastructure effectively.
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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.
What you need to know about the Toronto Tech Scene
Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.
