Machine Learning Engineer - ML/AI Platform

Spotify, the world's leading audio streaming platform, is seeking a Machine Learning Engineer to join their Hendrix ML Platform team in Toronto. This role combines software engineering expertise with machine learning infrastructure development, making it an exciting opportunity for those passionate about building scalable ML systems.

The position focuses on developing and maintaining Spotify's company-wide platform for training and serving machine learning models. As part of the Hendrix ML Platform team, you'll be instrumental in streamlining the productionization of AI and ML models across Spotify's ecosystem. The role involves working with cutting-edge technologies and collaborating with various teams to build robust ML infrastructure.

The ideal candidate will bring 3+ years of hands-on experience in ML model productionization, along with strong knowledge of deep learning fundamentals and modern ML tools like Huggingface, PyTorch, and TensorFlow. You'll be working in a hybrid environment that offers flexibility while maintaining collaborative opportunities through in-person meetings.

This role offers the unique opportunity to impact how machine learning is deployed at scale within one of the world's most innovative tech companies. You'll be working on projects that directly influence how Spotify delivers personalized experiences to millions of users worldwide. The company's strong commitment to diversity, inclusion, and innovation makes it an ideal place for talented engineers looking to make a significant impact in the intersection of music, technology, and machine learning.

Spotify offers a collaborative culture where your voice matters, regardless of your background. The company's mission to unlock human creativity through music and audio content provides a meaningful context for your technical work. If you're passionate about building scalable ML infrastructure and want to be part of a company that's revolutionizing how the world listens to audio content, this role offers an excellent opportunity to grow and make a difference.