Machine Learning Engineer - User Fraud - Remote

Overview

We are seeking a Machine Learning Engineer to join the User Fraud R&D Studio at Spotify. Our mission is to protect Spotify from fake accounts and artificial streaming.

In Short

• Contribute to designing, building, evaluating, shipping, and refining Spotify’s anti-fraud product by hands-on ML development
• Collaborate with a multi-functional team spanning data science, product management, and engineering to combat fraud
• Prototype new approaches and productionise solutions
• 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
• Conduct analyses to gain insights on fraudulent behaviours and trends
• Be responsible for monitoring the quality and performance of the squad's ML models

Requirements

• 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
• You preferably have experience with TensorFlow or Pytorch
• You are experienced with building data pipelines
• You care about agile software processes, data development, reliability, and focused experimentation
• You focus on delivering the simplest solution that drives business impact

Benefits

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