Machine Learning Engineering Manager
London
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!
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.
Do you want to help Spotify invent new personalized sessions with generative voice AI to delight users? In this role, you will provide leadership to Spotify’s Text-to-Speech (TTS) team, Speak, to create generated voice audio that enriches users’ experience of music and podcast recommendations.
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.
Do you want to help Spotify invent new personalized sessions with generative voice AI to delight users? In this role, you will provide leadership to Spotify’s Text-to-Speech (TTS) team, Speak, to create generated voice audio that enriches users’ experience of music and podcast recommendations.
What You'll do
- Be accountable for your team’s delivery of new voice experiences at the heart of music and podcast sessions users love.
- Provide servant leadership to ~10 applied research scientists, machine learning engineers, backend engineers, and data specialists.
- Cultivate a balanced, collaborative engineering culture and a diverse and inclusive team that reflects our customers and our world.
- Together with collaborators in Speak, you will contribute to a generative voice AI vision and strategy that keeps Spotify at the forefront of innovation in the field.
- Collaborate with Speak’s technical and product leads to define success metrics and roadmaps.
- Influence and support the development of the technical design and architecture of the Speak team’s stack.
- Advocate for and increase knowledge of advanced voice capabilities across the company.
Who You Are
- You have significant expertise in and deep passion for generative voice and speech.
- Or, you have significant experience in modern generative audio and are willing to make voice and speech your passion.
- You have demonstrated the ability to lead a text-to-speech or modern generative AI audio team (e.g. transformers, diffusion) to incorporate generative AI into consumer facing products, continuously making the models better for users while optimizing performance and cost.
- You practice servant leadership, have strong mentorship and coaching skills, and thrive when helping individuals and teams perform to their full potential.
- You are able to distill complex information into easy-to-understand concepts, and understand how to lead a team through ambiguity.
- You thrive when bringing research to market as amazing products for users.
Where You'll Be
- For this role there will be some in person meetings, but still allows for flexibility to work from home. We ask that you come into the London office at least 1 time per week.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Engineering Generative AI Machine Learning Research Streaming Transformers
Region:
Europe
Country:
United Kingdom
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