Senior Machine Learning Engineer, Personalization, Rewards

What You'll Do

• Contribute to designing, scaling/building, evaluating, integrating, shipping, and refining reward signals for recommendations by hands-on ML development.
• Lead collaborations and align across PZN to integrate and A/B test mid-term signals in various recommendation and discovery systems.
• Promote and role-model best practices of ML systems development, testing, and evaluation throughout the organization.
• In your first 6 months, you will be responsible for ML development: prototyping models, building pipelines, productizing/scaling models, and launching A/B tests for personalized generative recommendations at Spotify.

Who You Are

• You have a strong background in machine learning and enjoy applying theory to develop real-world applications.
• Reinforcement Learning (RL) expertise is key, and experience in RL for recommendations is a must have.
• Expertise in statistics and optimization, especially in sequential models, transformers, generative AI, large language models (LLMs are a plus), and relevant fine-tuning processes.

Where You'll Be

This role is based in New York. 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.