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About the Role

The Personalization team enhances music and podcast discovery for millions of users through features like Blend and Discover Weekly. The Surfaces Moments team, within Personalization, focuses on creating moment-based experiences, including the Home Shortcuts, using machine learning and recommendation systems to deliver highly relevant content.

Responsibilities

• Own and improve machine learning models and systems powering the Home feed and Shortcuts experience.
• Design, build, and ship personalized recommendations for a global user base.
• Build content recommendation systems for emerging agentic and AI-powered user experiences.
• Train, fine-tune, evaluate, and optimize large language models using techniques such as SFT, distillation, and parameter-efficient training.
• Collaborate with product managers, engineers, data scientists, and designers to define and execute experimentation strategies.
• Drive A/B testing, monitoring, model evaluation, and continuous optimization of recommendation quality, reliability, and cost efficiency.
• Improve ML platform capabilities, data pipelines, and production systems for personalization at scale.

Requirements

• 5+ years of experience building and deploying machine learning systems in production.
• Deep expertise in recommendation systems, ranking models, personalization, or large-scale content discovery platforms.
• Strong proficiency in Python and hands-on experience building ML systems with PyTorch.
• Experience with large language model training, fine-tuning, evaluation, and optimization techniques (SFT, distillation, LoRA).
• Experience with large-scale inference systems, including latency, reliability, and cost optimization.
• Ability to design, execute, and interpret online experiments and A/B tests.
• Experience operating distributed ML workloads using technologies like Ray, FSDP, HSDP, or similar.
• Experience building and maintaining data pipelines and orchestration workflows using technologies like Flyte, Airflow, BigQuery, and cloud storage.

Skills

• Python
• PyTorch
• Machine Learning
• Recommendation Systems
• Large Language Models (LLMs)
• Supervised Fine-Tuning (SFT)
• Distillation
• Parameter-Efficient Training
• LoRA
• A/B Testing
• Data Pipelines
• Orchestration Workflows
• Ray
• FSDP
• HSDP
• Flyte
• Airflow
• BigQuery

Location

• North Americas region

Work Type

• Remote
• Hybrid
• Onsite

Experience Level

• Senior

Salary/Compensations

• $184,050 - $262,928 plus equity

Benefits

• 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

About the Company

• Spotify is passionate about inclusivity and making sure our entire recruitment process is accessible to everyone.
• We have ways to request reasonable accommodations during the interview process and help assist in what you need.
• If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.

Equal Opportunity

• Spotify is an equal opportunity employer.
• You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones.
• Our platform is for everyone, and so is our workplace.
• The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking!
• So bring us your personal experience, your perspectives, and your background.
• It’s in our differences that we will find the power to keep revolutionizing the way the world listens.