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Machine Learning Engineer Intern

Machine Learning Engineer Intern
New York, US
145,000 - 238,000
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Job Description

At Spotify Advertising R&D, our mission is to build the next-generation advertising platform for audio which can scale the freemium experience for hundreds of millions of fans and tens of thousands of advertisers. This scale brings unique challenges as well as tremendous opportunities to define our business.

We are looking for a passionate Machine Learning Engineer Intern to join us on the Ad Relevance team. Our mission in Ad Relevance is to make the Spotify ad- supported experience relevant and engaging for our users by playing the right ad at the right time. 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 Spotify’s ad-supported user experience.


What you'll do

  • Apply machine learning, audio signal processing, NLP, and deep learning methods to massive data sets

  • Prototype new algorithms, evaluate with small scale experiments, and later productionize solutions at scale to our users

  • Collaborate with a cross functional agile team of backend engineers, data engineers, ML experts, data scientists, and others to build new product features

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

  • 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 a current undergraduate or graduate student pursuing a degree in Machine Learning, Statistics, Computer Science, or related field, and planning to graduate in 2024

  • 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 have a strong mathematical background in statistics and machine learning

  • You have some experience with languages such as Python, Scala, SQL

  • You might have experience with NLP, ETL, Data Processing

  • You have strong written and verbal communication skills

  • You are excited and eager to learn

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

  • For this role, you can choose to either work from home or from one of our office locations

  • Working hours? We operate within the Eastern Standard Time Zone for collaboration


Our paid summer internships last for 10-13 weeks and start at the beginning of June. The last day to apply is February 17, 2023, at 11:59 PM ET.

The United States hourly rate for this position is 33.00 USD (Undergraduate First Year & Sophomores), 42.00 USD (Undergraduate Juniors & Seniors), 49.00 USD (Masters) & 58.00 USD (PhD) per hour plus a one-time intern stipend of 2,253 USD. This position is overtime eligible. These rates may be modified in the future.

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.

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