Machine Learning Engineer, GenRecs, Personalization

Spotify; New York (NY); Remote; USD 138,000 - 198,000; Full time

Job summary

A leading company in the audio streaming industry is seeking an experienced Machine Learning Practitioner for their Personalization team. This exciting role involves designing and implementing ML solutions to enhance user experiences, collaborating with various teams, and pushing the boundaries of personalization technology. Ideal candidates will have a strong background in machine learning, natural language processing, and experience with production-level systems. This position offers great flexibility in work location within North America and excellent benefits.

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

Qualifications

• Experienced in building end-to-end production ML systems.
• Proficient in large-scale distributed data processing frameworks.
• Strong collaboration skills with cross-functional teams.

Responsibilities

• Design and build ML solutions for personalization products.
• Collaborate with cross-functional teams to implement new features.
• Prototype and productionize ML solutions at scale.

Skills

Machine Learning

Natural Language Processing

Generative AI

Distributed Data Processing

Python

Java

Scala

Pytorch

TensorFlow

Education

Bachelor's or Master's degree in a related field

Job description

The Personalization (PZN) 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 and keep the world listening. Every day, hundreds of millions of people all over the world use the products we build which include destinations like Home and Search as well as original playlists such as Made For You, Discover Weekly and Daily Mix.

What You'll Do

• Design, build, evaluate, and ship ML solutions in Spotify’s personalization products
• Collaborate with cross functional teams spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalized and useful ways
• Prototype new approaches and productionize solutions at scale for our hundreds of millions of active usersPromote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization
• Be part of an active group of machine learning practitioners

Who You Are

• An experienced ML practitioner motivated to work on complex real-world problems in a fast-paced and collaborative environment
• Strong background in machine learning, natural language processing, and generative AI, with experience in applying theory to develop real-world applications
• Hands-on expertise with implementing end-to-end production ML systems at scale in Python, Java or Scala
• Experience with Pytorch and/or TensorFlow is a strong plusExperience with designing end-to-end tech specs and modular architectures for ML frameworks in complex problem spaces in collaboration with product teams
• Experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, and cloud platforms like GCP or AWS

Where You'll Be

• We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have a work location.This team operates within the Eastern Standard time zone for collaboration.

The United States base range for this position is $138,250- $197,500plus equity. The benefits available for this position include 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. These ranges may be modified in the future.

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.

At Spotify, we are 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.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.