The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend 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.
The Speak team is Spotifies in-house text-to-speech (TTS) team, supporting products like DJ, AI Voice Translation, as well as the development of exciting new unreleased products. We focus on building world class speech technologies that can power the next generation of personalized generative voice products at scale.What You'll DoBuild large-scale speech and audio data pipelines using frameworks like Google Cloud Platform and Apache BeamWork on machine learning projects powering new generative AI experiences and helping to build state-of-the-art text-to-speech modelsLearn and contribute to the teams best practices and techniques for building data pipelines for large scale generative models, including cleaning, filtering, classifying and labellingCollaborate with other engineers, researchers, product managers and stakeholders, taking on learning and leadership opportunities that ariseDeliver scalable, testable, maintainable, and high-quality codeShare knowledge, promote standard methodologies, making your team the best version of itself through mentorship and constructive accountability.Who You AreYou have Data Engineering experience and you know how to work with high-volume, heterogeneous data, preferably with distributed systems such as Hadoop, BigTable, Cassandra, GCP, AWSYou have experience building clean, high quality datasets for training large scale machine learning models, a focus on audio data is preferredYou have experience with one or more higher-level Python or Java based data processing frameworks such as Beam, Dataflow, Crunch, Scalding, Storm, Spark etcYou have strong Python programming abilities. You might have worked with Docker as well as Luigi, Airflow, or similar toolsYou care about quality and you know what it means to ship high quality codeYou have experience managing data retention policiesYou care about agile software processes, data-driven development, reliability, and responsible experimentationYou understand the value of collaboration and partnership within teamsYou have experience in developing datasets tailored for training high-performance machine learning models. Familiarity with generative models or audio-based machine learning applications is highly desirable.You are proficient in cleaning, filtering, and evaluating dataset quality, leveraging both pre-trained and in-house machine learning models, as well as human evaluation techniques, to ensure optimal quality.Where You'll BeWe offer you the flexibility to work where you work best! For this role, you can be within the UK region as long as we have This team operates within the GMT 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.
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.