Summer Internship, ML Engineering Intern | Personalization Mission (US)
New York City
Applications have closed
Spotify
We grow and develop and make wonderful things happen together every day. It doesn't matter who you are, where you come from, what you look like, or what music you love. Join the band!
Spotify has more than 400M listeners in more than 180 markets around the world, who use our music, podcast, and audiobook services to find what delights, entertains, educates, and informs them. Personalization provides the technology to serve them what they expect to find, to help them explore and find new things to enjoy, and for us to suggest things they might not be aware of that they would like. As a result, from Blend to Discover Weekly, the Personalization team is behind some of Spotify’s most-loved features. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them.
We are looking for a passionate Engineering Intern to join the Crystal Ball team in Personalization. Our team’s goal is to provide the Content Team with the ability to predict podcast performance prior to launch. You will work with our team to develop robust Machine Learning and Data solutions to contribute to that objective. You will investigate potential data sources that could contribute to our models and evaluate their usefulness. You will be able to improve upon both technical and business skills through industry experience that we hope to cater towards your career aspirations. Above all, your work will impact the way the world experiences music and podcasts.
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.
We are looking for a passionate Engineering Intern to join the Crystal Ball team in Personalization. Our team’s goal is to provide the Content Team with the ability to predict podcast performance prior to launch. You will work with our team to develop robust Machine Learning and Data solutions to contribute to that objective. You will investigate potential data sources that could contribute to our models and evaluate their usefulness. You will be able to improve upon both technical and business skills through industry experience that we hope to cater towards your career aspirations. Above all, your work will impact the way the world experiences music and podcasts.
What you'll do
- Contribute directly to the Machine Learning and Data Pipelines that support our podcast performance predictions
- Assess and participate in the design decisions involving the future plans for the project
- Develop your technical (Python, Scala, SQL, Engineering fundamentals, etc) and soft skills
- Participate in shadowing and mentoring opportunities with professionals
Who you are
- You are interested in a career in Machine Learning and/or Data Engineering
- You are pursuing a Bachelor's degree and have a graduation year date of 2025 or 2026
- You currently have valid work authorization to work in the country in which this role is based that will extend from June to August 2023
- You are familiar with basic fundamentals of programming
- You have some experience with languages such as Python, Scala, SQL
- You have strong written and communication skillsYou are excited and eager to learn
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.
Tags: Data pipelines Engineering Machine Learning Pipelines Python Scala SQL Streaming
Region:
North America
Country:
United States
Job stats:
110
41
0
Categories:
Engineering Jobs
Machine Learning Jobs
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