Summer Internship, Machine Learning Engineering Intern | Personalization Mission (EMEA)
Stockholm
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 Machine Learning Intern that will join the Content Promotion Platform team in Personalization. Our team is responsible for constantly improving our promotion recommendation system aiming at helping creators to grow their audience. 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 and model architectures that could contribute to our main optimization objective 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 Machine Learning Intern that will join the Content Promotion Platform team in Personalization. Our team is responsible for constantly improving our promotion recommendation system aiming at helping creators to grow their audience. 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 and model architectures that could contribute to our main optimization objective 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 scoring model for content promotions
- Assess and participate in the design decisions involving the future plans for the project
- Develop your technical (Python, TensorFlow, Scala, SQL, Engineering fundamentals, etc) and soft skills
- Participate in shadowing and mentoring opportunities with professionals
- {optional} Work from any office we have across Europe
Who you are
- You are interested in a career in Machine Learning and/or Data Engineering
- You are a Masters or PhD level student in a relevant domain
- 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 good knowledge of Machine Learning
- You have a good level of programming, including experience with languages such as Python, TensorFlow, Scala, SQL
- You have strong written and 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 EMEA region in which we have a work location.
- Prefer an office to work from instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.
- Working hours? We operate within the Central European time zone 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: Architecture Data pipelines Engineering Machine Learning PhD Pipelines Python Scala SQL Streaming TensorFlow
Perks/benefits: Career development
Region:
Europe
Country:
Sweden
Job stats:
101
29
0
Categories:
Engineering Jobs
Machine Learning 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 Data Science Manager jobs
- Open MLOps Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Manager jobs
- Open Data Engineer II jobs
- Open Power BI Developer jobs
- Open Sr Data Engineer jobs
- Open Principal Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Junior Data Scientist jobs
- Open Business Intelligence Developer jobs
- Open Data Scientist II jobs
- Open Senior Data Architect jobs
- Open Product Data Analyst jobs
- Open Business Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Big Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Data Analyst Intern jobs
- Open Junior Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Data Product Manager jobs
- Open Azure Data Engineer jobs
- Open ETL Developer jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Privacy-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open TensorFlow-related jobs
- Open PhD-related jobs
- Open CI/CD-related jobs
- Open NLP-related jobs
- Open Data governance-related jobs
- Open Kubernetes-related jobs
- Open Airflow-related jobs
- Open Data warehouse-related jobs
- Open LLMs-related jobs
- Open Databricks-related jobs
- Open Hadoop-related jobs