Machine Learning Engineer, Personalization
Spotify
Machine Learning Engineer, Personalization
Job Description
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.
Locations
- New York, New York, United States
- Boston, Massachusetts, United States
Salary
Salary details available upon request
Estimated Salary Rangemedium confidence
220,000 - 400,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- machine learningintermediate
- personalized machine learning algorithmsintermediate
- recommender systemsintermediate
- production machine learning systems at scaleintermediate
- Javaintermediate
- Scalaintermediate
- Pythonintermediate
- XGBoostintermediate
- TensorFlowintermediate
- agile software processesintermediate
- data-driven developmentintermediate
- reliabilityintermediate
- disciplined experimentationintermediate
Required Qualifications
- Strong background in machine learning, with experience and expertise in personalized machine learning algorithms, especially recommender systems (experience)
- Hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages (experience)
Preferred Qualifications
- Experience with XGBoost, TensorFlow (experience)
Responsibilities
- Contribute to designing, building, evaluating, shipping, and refining Spotify’s product 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 production-ize solutions at scale for our hundreds of millions of active 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
Benefits
- general: 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
- general: This team operates within the Eastern Standard time zone for collaboration
Tags & Categories
Machine Learning Engineer, Personalization
Spotify
Machine Learning Engineer, Personalization
Job Description
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.
Locations
- New York, New York, United States
- Boston, Massachusetts, United States
Salary
Salary details available upon request
Estimated Salary Rangemedium confidence
220,000 - 400,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- machine learningintermediate
- personalized machine learning algorithmsintermediate
- recommender systemsintermediate
- production machine learning systems at scaleintermediate
- Javaintermediate
- Scalaintermediate
- Pythonintermediate
- XGBoostintermediate
- TensorFlowintermediate
- agile software processesintermediate
- data-driven developmentintermediate
- reliabilityintermediate
- disciplined experimentationintermediate
Required Qualifications
- Strong background in machine learning, with experience and expertise in personalized machine learning algorithms, especially recommender systems (experience)
- Hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages (experience)
Preferred Qualifications
- Experience with XGBoost, TensorFlow (experience)
Responsibilities
- Contribute to designing, building, evaluating, shipping, and refining Spotify’s product 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 production-ize solutions at scale for our hundreds of millions of active 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
Benefits
- general: 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
- general: This team operates within the Eastern Standard time zone for collaboration
Tags & Categories