We are looking for a Senior Machine Learning Engineer to join our team. We are at the forefront of deriving foundational knowledge through vectors and representations of music content and users’ taste, which are key for Spotify teams to create personalized, engaging experiences. This is a unique opportunity to help develop and improve our next-gen user representations, and shape the way Spotify recommendations work. You’ll build machine learning products at scale, drive a ton of business impact, and join a high-energy, positive team environment!

Locations

New York
Boston

Job type

Permanent

Join us and you’ll keep millions of users listening to great recommendations every day.

What You'll Do

Contribute to designing, building, evaluating, shipping, and refining Spotify’s personalization products by hands-on ML development
Collaborate with a cross functional agile team 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 relevant 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 model development, testing, evaluation, etc., both inside the team as well as throughout the organization
Be part of an active group of machine learning practitioners across Spotify

Who You Are

You have a strong background in machine learning, enjoy applying theory to develop real-world applications, with experience and expertise in machine learning algorithms for recommender systems
Familiarity or a hands-on experience with representation learning is a big plus
You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages
Experience with TensorFlow, PyTorch, XGBoost, etc is a strong plusYou have experience with data pipeline tools like Apache Beam, Scio, etc., and cloud platforms like GCP or AWS
You care about agile software processes, data-driven development, reliability, and disciplined experimentation
You routinely survey research publications in the machine learning and software engineering communities
You love your customers even more than your code

Where You'll Be

We offer you the flexibility to work where you work best! For this role, you can be within the Eastern time zone as long as we have a work location.

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Our global benefits

Extensive learning opportunities, through our dedicated team, GreenHouse.

Flexible share incentives letting you choose how you share in our success.

Global parental leave, six months off - fully paid - for all new parents.

All The Feels, our employee assistance program and self-care hub.

Flexible public holidays, swap days off according to your values and beliefs.

Learn about life at Spotify

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.