Summer Internship, Research Scientist in Tech Research

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Job description

We are looking for Research Scientist interns who have applied experience in the fields of information retrieval, recommender systems, natural language processing, human-computer interaction, knowledge management, or machine learning. Our teams span four research labs based in the US (east coast) and Europe working on a diverse range of research topics and applied problems. We use a variety of approaches and methods to answer research questions related to how people interact and engage with Spotify. We work on a broad range of Spotify features - personalized playlists such as Discover Weekly and Daily Mix, the Homepage, Search and other ML systems powering recommendations of music and podcasts to 180 million users with billions of interactions.

What you'll do

• Be part of an interdisciplinary team focused on making every user interaction with Spotify amazing through personalization and discovery, and in the process pushing innovation and contributing to the wider research community by publishing papers.
• Apply your scientific knowledge to application-oriented problems in search and recommendation, information extraction, knowledge representation, natural language processing, human-computer interaction, and more broadly machine learning, combining insights from your expertise with those of our diverse team of research scientists.
• 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 design creative solutions to challenging problems.
• Help to develop thoughtful , efficient and intuitive new ways to search, explore and discover music.
• Work on a broad range of Spotify features such as personalized playlists (Discover Weekly and Daily Mix), the Homepage, Search and other ML systems powering recommendations to 180 million users with billions of interactions.

Who you are

• You are pursuing a PhD in Computer Science, Information Science, Data Science, Statistics or related areas with a strong computational focus.
• You have publications in communities such as the Web Conference, SIGIR, CHI, ACL, NeurIPS, WSDM, EMNLP, RecSys, KDD, IUI, CIKM, CSCW, ICWSM, ISWC, AAAI, ICML, ICLR, UIST, Ubicomp or related venues.
• You are curious about how interaction design, data collection strategies, and people's perceptions affect Machine Learning outcomes.
• You are a creative problem-solver who is passionate about digging into complex problems and devising innovative ways to reach results.
• You have experience with the complexities of real-world data, and understand the value of both in-depth, qualitative and web-scale, quantitative data working together to build a deep understanding of people's interaction with technology.

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 and is within working hours.
• Working hours? We operate within the Eastern Standard time zone for collaboration and ask that all be located in that time zone.
• 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.

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 381 million users.

This position is not eligible to be performed in Colorado.