Machine Learning Engineering Manager
Spotify
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Engineering
Engineering Leadership
Location
- London
Job type
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.
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Our global benefits
Extensive learning opportunities, through our dedicated team, GreenHouse.
Flexible share incentives letting you choose how you share in our success.
Global parental leave, six months off - fully paid - for all new parents.
All The Feels, our employee assistance program and self-care hub.
Flexible public holidays, swap days off according to your values and beliefs.
Learn about life at Spotify
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 with a community of more than 500 million users.
Similar jobs
This job is no longer accepting applications
See open jobs at Spotify.See open jobs similar to "Machine Learning Engineering Manager" Accel.