Machine Learning Engineer, Personalization

Spotify AB; New York (NY); Hybrid; USD 90,000 - 150,000; Full time

Job summary

Join a forward-thinking company as a Machine Learning Engineer in Personalization, where you'll lead innovative projects and collaborate with cross-functional teams to enhance user experiences. This role involves architecting and deploying machine learning models that power Spotify's recommendation systems, impacting millions of users. With a strong focus on technical leadership, you'll utilize your expertise in machine learning to drive advancements in how users discover music and podcasts. Enjoy a flexible work environment and a culture that values diversity and inclusion, while contributing to a product that revolutionizes the way the world listens.

Benefits

Extensive learning opportunities

Share incentives

Parental leave

Employee assistance programs

Flexible holidays

Health benefits

Retirement plans

Paid time off

Qualifications

• Strong background in machine learning and recommender systems.
• Experience designing and building ML systems, especially at Spotify.

Responsibilities

• Lead technical initiatives and coordinate projects within the team.
• Architect, design, develop, and deploy ML models for recommendations.

Skills

Machine Learning

Recommender Systems

Feature Engineering

Data Pipelines

TensorFlow

PyTorch

Technical Leadership

Tools

Kubeflow

Scio

Ray

Job description

Machine Learning Engineer
Personalization

The Personalization team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music, podcasts, and audiobooks better than anyone else so that we can make great recommendations to every individual person and keep the world listening. Every day, hundreds of millions of people all over the world use the products we build, including destinations like “Home” and “Search,” as well as original playlists such as “Discover Weekly” and “Daily Mix.”

Location

• New York

Job type

Permanent

About Hulk

Hulk stands for Human Understandable Language Knowledge. The team owns critical assets that power recommendation and distribution across Spotify. We are part of the LLM Foundations Product Area, heavily using modern AI techniques and LLMs to derive content understanding and establish reliable, scalable systems for sharing knowledge across Spotify teams.

What You'll Do

• Lead technical initiatives within your team and across Spotify
• Coordinate projects across teams within Spotify
• Collaborate with engineers, product owners, and designers to solve challenging problems for global media delivery
• Contribute as a member of an autonomous, cross-functional agile team
• Architect, design, develop, and deploy ML models for podcast recommendations across various surfaces
• Lead in Home’s ML community and work within existing platforms and systems

Who You Are

• Experienced in technical leadership or mentorship
• Strong background in machine learning, especially recommender systems
• Experience designing and building ML systems at Spotify, including spotify-kubeflow and salem
• Proficient in feature engineering and building scalable data pipelines in Scio
• Deep understanding of ML systems and infrastructure
• Experience with TensorFlow or PyTorch; familiarity with Kubeflow, Ray is a plus

Where You'll Be

• Flexible work location within North America, aligned with the Eastern Standard Time zone for collaboration

Additional benefits include extensive learning opportunities, share incentives, parental leave, employee assistance programs, flexible holidays, and competitive compensation with health benefits, retirement plans, and paid time off.

Spotify is an equal opportunity employer committed to diversity and inclusion. We support accommodations throughout the hiring process. Join us to help revolutionize the way the world listens.