Platform Engineer I - Machine Learning Infrastructure
Description For Platform Engineer I - Machine Learning Infrastructure
Spotify is seeking a Platform Engineer I to join their Hendrix ML Platform team, focusing on developing and maintaining their machine learning infrastructure. This role sits at the intersection of DevOps and Machine Learning, where you'll be responsible for building and maintaining the systems that power Spotify's ML capabilities. The team's mission is to create a robust, company-wide platform for training and serving machine learning models, making it easier for teams across Spotify to productionize AI and ML models.
As a Platform Engineer, you'll be hands-on with large-scale Kubernetes clusters, developing SDK tools, and collaborating with ML Engineers and researchers. The role requires both technical expertise in ML infrastructure and the ability to work collaboratively with various teams. You'll be based in Toronto with a hybrid work arrangement, offering flexibility while maintaining opportunities for in-person collaboration.
This is an excellent opportunity for someone early in their ML infrastructure career, with at least one year of experience, to join a leading global technology company. You'll work with cutting-edge ML technologies and tools while contributing to systems that impact millions of users worldwide. The role offers a blend of independent work and team collaboration, with opportunities to learn and grow while working on challenging problems in ML infrastructure.
The ideal candidate will bring experience with Python or Go, understanding of ML fundamentals, and familiarity with modern ML tools and frameworks. You'll be part of a team that values reliable, testable, and maintainable solutions, following industry best practices in software development.
Responsibilities For Platform Engineer I - Machine Learning Infrastructure
- Manage and maintain large scale production Kubernetes clusters for ML workloads
- Contribute to Spotify ML Platform SDK and build tools for ML operations
- Collaborate with Machine Learning Engineers, researchers, and product teams
- Work on squad projects requiring learning and applying new technologies
- Design, document and implement reliable ML infrastructure capabilities
Requirements For Platform Engineer I - Machine Learning Infrastructure
- 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
Jobs Related To Spotify Platform Engineer I - Machine Learning Infrastructure
