Machine Learning Engineer II

Spotify is a leading audio streaming subscription service that aims to unlock the potential of human creativity through music and podcasting. The Personalization team is seeking a Machine Learning Engineer II to design, scale, and optimize recommendation systems, integrating and A/B testing new ideas to enhance user experience.

Responsibilities:

• Contribute to designing, scaling/building, evaluating, integrating, shipping, and refining reward signals for recommendations by hands-on ML development
• Lead collaborations and align across Personalization to integrate and A/B test mid-term signals in various recommendation systems
• Promote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization

Requirements:

• You have a background in machine learning, enjoy applying theory to develop real-world applications, with experience in statistics and optimization, especially in sequential models, transformers, generative AI and large language models, and relevant fine-tuning processes
• You have hands-on experience with large cross-collaborative machine learning projects and managing stakeholders
• You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages
• You have some experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, or even our open source API for it - Scio, and cloud platforms like GCP or AWS
• You care about agile software processes, data-driven development, reliability, and disciplined experimentation