Job details

Senior Machine Learning Engineer, Personalization

The Safe-and-Sound team makes Spotify safe and enjoyable for every listener. From podcast recommendations to AI Playlists, we’re a part of some of Spotify’s most-loved features. We build Responsible AI solutions by understanding our music, podcasts and users better than anyone else. Join us and you’ll keep millions of users listening by making recommendations safe for each and every one of them.

What You'll Do

Design, build, evaluate, and ship ML solutions for safety 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 users
Promote 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 in New York (and across Spotify) collaborating with one another

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 Java, Scala, Python, or similar languages. Experience with Pytorch, TensorFlow, Scikit-learn etc is a strong plus
Experience 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 are a distributed workforce enabling our band members to find a work mode that is best for them!
Where in the world? For this role, it can be within the Americas region in which we have a work location
Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.
Working hours? We operate within the Eastern Standard time zone for collaboration

The United States base range for this position is $171,903.00- $245,575.00 plus 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 Glassdoor Company Review

4.0

Spotify DE&I Review

No rating

CEO of Spotify

Daniel Ek

Approve of CEO

Average salary estimate

$208739 / YEARLY (est.)

min

max

$171903K

$245575K

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What You Should Know About Senior Machine Learning Engineer, Personalization, Spotify

If you're ready to make a significant impact in the world of music, look no further than the Senior Machine Learning Engineer role at Spotify in the Personalization team! As part of the Safe-and-Sound crew, you'll be working to create a safer and more enjoyable experience for millions of listeners. Imagine crafting machine learning solutions that enhance podcast recommendations and AI playlists while promoting responsible AI practices. Your day-to-day will involve designing, building, and evaluating ML solutions that contribute to safety in Spotify’s personalization products. Collaborating with talented professionals from user research to engineering, you will connect artists and fans in a personalized way. You'll also prototype innovative approaches and productionize solutions that scale to meet the demands of our hundreds of millions of active users. You'll be a champion of best practices in ML systems development, sharing your expertise both within your team and across the organization. If you have a solid background in machine learning, natural language processing, and generative AI, this position will be perfect for you. Get ready to apply your hands-on experience with Java, Scala, or Python, and dive deep into large-scale data processing with platforms like GCP or AWS. We believe in flexibility, allowing you to choose your work mode from anywhere within the Americas. With an attractive salary range and excellent benefits like health insurance and generous paid leave, this is your chance to join Spotify and bring your machine learning expertise to life!

Frequently Asked Questions (FAQs) for Senior Machine Learning Engineer, Personalization Role at Spotify

What are the main responsibilities of a Senior Machine Learning Engineer at Spotify?

As a Senior Machine Learning Engineer at Spotify, your primary responsibilities include designing, building, and evaluating ML solutions focused on safety in the personalization products. You'll work closely with cross-functional teams, including user research and engineering, to create innovative features. Additionally, you'll promote best practices in ML systems development.