Machine Learning Engineer, Personalization

ive users

• Help drive optimization, testing, and tooling to improve quality

• Be part of an active group of machine learning practitioners in New York (and across Spotify) collaborating with one another

Who You Are

• You have a strong background in machine learning, with experience and expertise in personalized machine learning algorithms, especially recommender systems.

• You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages. Experience with XGBoost, TensorFlow is also a plus.

• You care about agile software processes, data-driven development, reliability, and disciplined experimentation

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

• Working hours? We operate within the Eastern Standard time zone for collaboration

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 $136,878- $195,540 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.