Machine Learning Engineer - Personalization
To see similar active jobs please follow this link: Remote Development jobs
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
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
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 here.
Working hours? We operate within the Eastern Standard time zone for collaboration
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.
About the job
Machine Learning Engineer - Personalization
To see similar active jobs please follow this link: Remote Development jobs
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
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
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 here.
Working hours? We operate within the Eastern Standard time zone for collaboration
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.