Contribute to designing, building, evaluating, shipping, and refining Spotify’s product by hands-on ML development
Collaborate with a multi-functional agile team spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalized and relevant ways
Prototype new approaches and productionize solutions at scale for our hundreds of millions of active users
Help drive optimisation, testing, and tooling to improve quality
Be part of an active group of machine learning practitioners in your mission and across Spotify
Requirements & Skills:
You have a strong background in machine learning, theory, and practice
You are comfortable explaining the intuition and assumptions behind ML concepts
You have hands-on experience implementing and maintaining production ML systems in Python, Scala, or similar languages
Experience with TensorFlow is also a plus
You are experienced with building data pipelines, and you are self-sufficient in getting the data you need to build and evaluate your models
You preferably have experience with cloud platforms like GCP or AWS
You care about agile software processes, data development, reliability, and focused experimentation
