[Remote] Senior Machine Learning Engineer - Personalization

Note: The job is a remote job and is open to candidates in USA. Spotify is a leading music streaming service, and they are seeking a Senior Machine Learning Engineer to join their Personalization team. The role involves designing, developing, and evaluating recommendation models to enhance user experiences across Spotify's platforms.

Responsibilities

• Contribute to the design, development, evaluation, and iteration of recommendation models — including candidate generation, ranking, and embedding models — powering music surfaces at scale
• Drive hands-on ML development to improve reward signals and recommendation quality across Home, Now Playing, and other core surfaces
• Contribute to the team's adoption of generative recommendation models, partnering with ML and AI infrastructure teams
• Promote best practices in ML systems development, testing, and experimentation within the team
• Collaborate with Data Science, Product, and Design partners to define success metrics, run A/B experiments, and translate insights into product improvements
• Partner with teams across Personalization to integrate and test new signals in recommendation systems

Skills

• You have a strong background in machine learning and enjoy applying theory to real-world applications, with expertise in statistics and optimization — particularly sequential models, transformers, generative AI, and LLMs
• You have hands-on experience building and shipping production machine learning systems at scale, ideally in personalization or recommendation systems
• You have experience implementing ML systems in Java, Scala, Python, or similar languages
• You have some experience with large-scale distributed data processing frameworks such as Apache Beam, Apache Spark, or Scio, and cloud platforms like GCP or AWS
• You have experience collaborating across teams on complex ML projects and navigating cross-functional stakeholders
• You care about agile software processes, data-driven development, reliability, and disciplined experimentation
• Familiarity with PyTorch, Ray or Hugging Face is a plus

Benefits

• Equity
• Health insurance
• Six month paid parental leave
• 401(k) retirement plan
• Monthly meal allowance
• 23 paid days off
• 13 paid flexible holidays
• Paid sick leave

Company Overview

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