- Explore a new application of text-to-speech technology in narrating blogs, news articles, or other user-generated content. We expect that machine learning methods can deliver engaging narrations by interpreting text structure and formatting, and by incorporating rich descriptions of any images within the articles.
- Use Python as the main programming language for data processing, model training, and model serving. Our models are written in PyTorch.
- Work with different machine learning methods, potentially including audio classification, natural language processing (NLP), and image classification.
- You are pursuing a PhD in Machine Learning, Computer Science or related field and have a graduation year date of 2023, 2024 or 2025.
- 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 some prior experience in Python and PyTorch enabling work to start quickly
- Experience in audio processing, automatic speech recognition (ASR) or speech synthesis/classification would be advantageous.
- Evidence of training deep learning models within the above areas would be advantageous.
- You have a strong desire to learn more about different machine learning methods
Company
Location
London, England - United Kingdom
Job type
Full-Time
Python Job Details
Students
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.
Location
London or Remote EMEA
Job type
Internship
The Speak product area within Personalization uses text-to-speech technology to generate emotional, hyper-realistic AI-powered voices. This involves working with amazing actors to record high quality speech performances, working with the latest AI methods to model this data and building tools and platforms for users within Spotify to create new speech content. At every step of this process we try to ensure quality always comes first, however such emphasis on quality can be time consuming and laborious.
This project will explore new ways to create models that can detect quality defects in our production pipeline. These defects can range from high level features such as poor performance of a particular style of speech, to low level features such as audio artifacts in data or synthesized speech. We believe that the flip side of speech generation is speech analysis, and that in order to produce the highest quality speech generative models we need the best speech evaluation tools.
What you'll do
Who you are
Our global benefits
Extensive learning opportunities, through our dedicated team, GreenHouse.
All The Feels, our employee assistance program and self-care hub.
Social events, everything from fikas and team outings to concerts, panels and talks.
Flexible public holidays, swap days off according to your values and beliefs.
Spotify Premium Account, listen without limits with a free employee account.
Swag, a Spotify welcome kit and official merch you can’t get anywhere else.
Learn about life at Spotify
Our paid summer internships last for 10-13 weeks and start at the beginning of June. To apply, please submit a resume and cover letter detailing your interest in this role at Spotify. The last day to apply is February 27 at 16:00 GMT.
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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