Senior Machine Learning Engineer - User Platform

The User Platform (UP) studio is looking for our first Machine Learning Engineer to help us get better at accomplishing our mission: Connect Users with Spotify and Spotify with its Users.
UP is a studio in the SAFE Alliance as part of Spotify's Platform Mission. The studio owns capabilities and infrastructure for Customer Identity and Access Management at Spotify directly providing 700M+ users across the world access to the audio experience they desire. The studio was formed in order to 1) provide a secure platform that helps users establish their identity and manage their account data on different surfaces; 2) Enable teams around Spotify to customize the overall offering given to users in a reliable manner.
As a part of the studio, you’ll be part of bootstrapping the studio’s ML capabilities focused on gaining confidence in who the user is - allowing us to provide our users with an offering that’s relevant to them while ensuring the safety of our users. This would include solving (but not be limited to) things like assessing the age of a user etc.

What You'll Do

• Lead the Design, development, evaluation and iteration of the necessary ML models.
• Collaborate with a multi-functional team spanning user research, design, data science, product management, and engineering to build new product features that advance Spotify’s mission to deliver creativity to the world - one note, one voice, one idea at a time.
• Prototype new approaches and productionise solutions at scale for our hundreds of millions of active users
• Help drive optimisation, testing, and tooling to improve quality
• Help cross skill our engineering team with the machine learning craft.
• Be part of an active group of machine learning practitioners in your mission and across Spotify.

Who You Are

• You have at least 6 years of experience working with ML models at scale.
• 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 can pick up new skills to unblock yourself and maximise the impact you deliver.
• You preferably have experience with cloud platforms like GCP or AWS
• You care about agile software processes, data development, reliability, and focused experimentation
• You have a desire to drive business impact

Where You'll Be

• This role is based London, United Kingdom or Stockholm, Sweden
• 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