• Engineering

Location

• Toronto

Job type

Permanent

What You'll Do

• Manage and maintain large scale production Kubernetes clusters for ML workloads, including ML platform infrastructure and necessary dev ops.
• Contribute to Spotify ML Platform SDK and build tools for various ML operations.
• Collaborate with Machine Learning Engineers (MLE), researchers, and various product teams to deliver scalable ML platform tooling solutions 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

• 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
• You have a general understanding of data processing for ML
• You have experience with agile software processes and modular code design following industry standards

Where You'll Be

• This role is based in Toronto.
• 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.

Our global benefits

Extensive learning opportunities, through our dedicated team, GreenHouse.

Flexible share incentives letting you choose how you share in our success.

Global parental leave, six months off - fully paid - for all new parents.

All The Feels, our employee assistance program and self-care hub.

Flexible public holidays, swap days off according to your values and beliefs.

Learn about life at Spotify

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.

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 with a community of more than 500 million users.