Machine Learning Engineer II

Key Skills

AWS, Data pipelines, Data science techniques, Design, Google Cloud Platform (GCP), Machine learning techniques, Python Programming, Scala Programming, TensorFlow

Job Description

This role sits in a squad called White Mouse that owns the optimization of plan upsell targeting across Spotify. Our key problem areas are: What plan should the user be upsold on discovery surfaces? How should we communicate the user on consideration surfaces? How should we balance upselling plans vs other paid products?

What You'll Do

• 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

Who You Are

• 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
• You have a desire to drive business impact

Where You'll Be

• This role will be located in our London or Stockholm office