Machine Learning Engineer

Spotify is a leading audio streaming service known for its innovative features like Blend and Discover Weekly. They are seeking a Machine Learning Engineer to join the Personalization team, focusing on enhancing user satisfaction through advanced recommendation systems and collaboration with cross-functional teams.

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:

• Strong background in machine learning
• Expertise in statistics and optimization, especially in sequential models, transformers, generative AI and large language models, and relevant fine-tuning processes
• Hands-on experience with large cross-collaborative machine learning projects and managing stakeholders
• Hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages
• Experience with PyTorch, Ray, Hugging Face and related tools
• Some experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, or even our open source API for it - Scio
• Experience with cloud platforms like GCP or AWS
• Care about agile software processes, data-driven development, reliability, and disciplined experimentation