Job Overview

The Hendrix ML Platform team is dedicated to developing a robust, Spotify-wide platform for training and serving machine learning models. This platform streamlines the productionization of AI and ML models by mitigating the incidental complexities involved in creating backend services for serving predictions and training models.

Key Responsibilities

• Manage and maintain large scale production Kubernetes clusters for ML workloads
• Contribute to Spotify ML Platform SDK and build tools for various ML operations
• Collaborate with Machine Learning Engineers (MLE), researchers, and various product teams
• Work independently and collaboratively on squad projects
• Design, document, and implement reliable, testable, and maintainable solutions ML infrastructure capabilities

Required Qualifications

You have 1+ years of hands-on experience implementing production ML infrastructure at scale in Python, Go, or similar languages. Knowledge of deep learning fundamentals, algorithms, and open-source tools such as Huggingface, Ray, PyTorch, or TensorFlow. Contributed to a production ML Model or ML infrastructure. General understanding of data processing for ML. Experience with agile software processes and modular code design following industry standards.

About Spotify

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.

Benefits

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.