Summer Internship - Research Scientist in Machine Learning

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Daily Mix to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them. We ask that our team members be physically located in Central European time or Eastern Standard/Daylight time zones for the purposes of our collaboration hours.
We are looking for Research Scientist Interns to join our team of hard working scientists whose research spans Machine Learning, Reinforcement Learning, Causal Inference, Machine Intelligence, User Behavioral Analytics and Information Retrieval. You will help develop and evaluate machine learning methods, demonstrate best practices in building new datasets powering the next generation of machine learning research and make sure that every user interaction with Spotify is outstanding through personalization and discovery.

What you’ll do

• You will apply your scientific knowledge to develop and evaluate machine learning methods, combining insights from statistics, signal processing, probabilistic modeling, reinforcement learning and many other fields. 
• You will be a valued member of an autonomous, multi-functional team working in collaboration with other scientists, engineers, product managers, designers, user researchers, and analysts across Spotify to craft creative solutions to ambitious problems.
• You’ll help to develop intelligent, efficient and intuitive new ways to search, explore and discover music.

Who you are

• You are pursuing a PhD Programme in Machine Learning, Computer Science, Data Science, Statistics or related areas with a strong computational focus.
• You have publications in communities such as WWW, SIGIR, WSDM, RecSys, KDD, AAAI, NeurIPS, ICML, ICLR, AISTATS, UAI, or related, in the following topics: recommendations, user understanding, large scale experimentation or (more broadly) machine learning, causal inference, reinforcement learning.
• You have strong coding skills in the following languages/libraries: Python, Numpy, TensorFlow, Scipy or Scikit-learn.
• You have experience in one or more of the following fields: Machine learning, Reinforcement Learning, Causal Inference, and Probabilistic Machine Learning.

Work from anywhere

• 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 Europe region in which we have a work location and is within working hours. Working hours? For efficient collaboration we ask that everyone operates within the Central European and GMT time zones.
• 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.

The Intern experience
This is your chance to help craft the way the world listens, learn more about what we do, how we do it - and why that matters. We’re looking for hardworking students with a passion for audio experiences and an ambition to go far. This isn't just any internship, you’ll make an impact and play a real part in the success of Spotify, all over one unforgettable summer!
If that’s you, tell us who you are, what you care about, and where you want to go. Our paid summer internships last for 12-13 weeks and start at the beginning of June. The last day to apply is November 21st, 2021 at 11:59 PM, EST. You can expect the following application timeline:
November - December 2021: Application ReviewDecember - January 2022: InterviewsDecember - January 2022: Offers given outJune 2022: Intern program start
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 with a community of more than 345 million users.