Machine Learning Engineer II - Remote

Overview

The Personalization (PZN) team at Spotify is focused on enhancing user experience by providing personalized listening recommendations through innovative AI-powered solutions. As part of the Next Generation Sessions product area, the team is dedicated to creating cutting-edge personalized audio experiences that engage users and keep them listening.

In Short

• Join a cross-functional team inventing AI-powered music and podcast experiences.
• Prototype and ship AI-driven recommendations using LLMs and agent frameworks.
• Collaborate with designers, researchers, and engineers to launch innovative features.
• Leverage AI coding tools to rapidly develop full-stack MVPs.
• Ensure software quality by critically evaluating AI-generated code.
• Access comprehensive career development resources at Spotify.
• Contribute to a strong AI engineering culture within the team.
• Work remotely within the North America region with a focus on Eastern Standard time zone.

Requirements

• Experience in full-stack AI prototyping and modern AI tools.
• Knowledge of machine learning fundamentals and hands-on experience with Python, Java, or Scala.
• Experience with ML frameworks like PyTorch or TensorFlow.
• Ability to fine-tune and evaluate LLMs.
• Experience crafting prompts for LLMs to extract meaningful results.
• Understanding of AI code quality and best practices.
• Strong collaborative skills and eagerness to learn from experienced engineers.
• Creative mindset and enthusiasm for shaping AI-powered products.

Benefits

• Flexible work location within the North America region.
• Collaborative and interdisciplinary work environment.
• Access to career development resources.
• Opportunity to work on innovative AI projects impacting millions of users.