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.
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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 3+ years of hands-on experience implementing production ML
infrastructure at scale in Python, Go or similar languages
- 3+ years of experience working with a public cloud provider such as GCP, AWS,
or Azure. Preferably GCP.
- Knowledge of deep learning fundamentals, algorithms, and open-source tools
such as Huggingface, Ray, PyTorch or TensorFlow
- Good to have an understanding of distributed training leveraging GPUs and
Kubernetes
- 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.
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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.
At Spotify, we are passionate about inclusivity and making sure our entire
recruitment process is accessible to everyone. We have ways to request
reasonable accommodations during the interview process and help assist in what
you need. If you need accommodations at any stage of the application or
interview process, please let us know - we’re here to support you in any way we
can.
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.
