2024 Summer Internship, Tech Research Scientist (London)
London
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 is looking for enthusiastic students with a passion for streaming audio and an ambition to go far. This isn't just any internship! Our paid internship program will give you the chance to gain in-depth knowledge of what it's like to be a Spotify employee as well as get the opportunity to see the technology side of a fast growing company! Our summer internships will last for approximately 10 weeks this summer and start in the beginning of June.
We are looking for a Research Scientist intern in the fields of artificial intelligence, machine learning, economics, foundational modeling, LLMs, recommender systems, speech processing, natural language processing, or information retrieval. We are a distributed team located 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 – AI DJ, personalized playlists such as Discover Weekly and Daily Mix, the Homepage, Search and other AI systems powering recommendations of music, podcasts, and audiobooks to 180 million users with billions of interactions.
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 Research Scientist intern in the fields of artificial intelligence, machine learning, economics, foundational modeling, LLMs, recommender systems, speech processing, natural language processing, or information retrieval. We are a distributed team located 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 – AI DJ, personalized playlists such as Discover Weekly and Daily Mix, the Homepage, Search and other AI systems powering recommendations of music, podcasts, and audiobooks to 180 million users with billions of interactions.
What You'll Do
- Be part of an interdisciplinary team passionate about making every user interaction with Spotify outstanding 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 artificial intelligence, economics, machine learning, search and recommendation, speech processing, and natural language processing, combining insights fom 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 craft creative solutions to challenging problems
- Help to develop thoughtful, efficient, and intuitive new ways to search, explore and discover music, podcasts, and audiobooks
Who You Are
- You are pursuing a Ph.D. in Computer Science, Information Science, Data Science, Statistics, Economics or related areas with a strong computational focus
- You currently have valid work authorization to work in the country in which this role is based that will extend from June to August 2024
- Plus if you have publications in communities such as NeurIPS, ICML, ICLR, EC, AAAI, RecSys, The Web Conference, ACL, SIGIR, WSDM, KDD, Interspeech, or related venues
- You are a creative problem-solver who is passionate about digging into challenging problems and devising innovative ways to reach results
- You have experience with the complexities of modeling and analyzing real-world data
Where You'll Be
- This role will require you to work out of our London Office
- Working hours? We operate within GMT for collaboration
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: Computer Science Economics ICLR ICML LLMs Machine Learning NeurIPS NLP Recommender systems Research Statistics Streaming
Region:
Europe
Country:
United Kingdom
Job stats:
127
30
0
Categories:
Data Science Jobs
Research Jobs
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Lead Data Analyst jobs
- Open Senior Business Intelligence Analyst jobs
- Open MLOps Engineer jobs
- Open Data Manager jobs
- Open Data Science Manager jobs
- Open Principal Data Engineer jobs
- Open Data Engineer II jobs
- Open Sr Data Engineer jobs
- Open Power BI Developer jobs
- Open Product Data Analyst jobs
- Open Business Intelligence Developer jobs
- Open Data Scientist II jobs
- Open Junior Data Scientist jobs
- Open Data Analytics Engineer jobs
- Open Business Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Data Analyst Intern jobs
- Open Big Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Junior Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Data Product Manager jobs
- Open Principal Data Scientist jobs
- Open Azure Data Engineer jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open Deep Learning-related jobs
- Open PhD-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open PyTorch-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open LLMs-related jobs
- Open Generative AI-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Hadoop-related jobs
- Open Airflow-related jobs
- Open Databricks-related jobs