Machine Learning Engineering Manager

Machine Learning Engineering Manager

Full-Time 80000 - 100000 £ / year (est.) Home office (partial)
Spotify

At a Glance

  • Tasks: Lead a team to create innovative voice experiences for music and podcasts.
  • Company: Join Spotify's Personalization team, shaping the future of audio.
  • Benefits: Flexible work options, inclusive culture, and opportunities for personal growth.
  • Other info: Collaborative environment with a focus on diversity and innovation.
  • Why this job: Make a real impact on how millions enjoy music and podcasts.
  • Qualifications: Experience in generative voice AI and strong leadership skills.

The predicted salary is between 80000 - 100000 £ per year.

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.

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 approximately 1 time per week.

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.

Machine Learning Engineering Manager employer: Spotify

Spotify is an exceptional employer that fosters a vibrant and inclusive work culture, where creativity and innovation thrive. With a focus on employee growth, team members are encouraged to develop their skills in a collaborative environment while working on cutting-edge technology that enhances user experiences. Located in London, the company offers flexibility with remote work options and values diverse perspectives, making it a rewarding place for those passionate about generative voice AI and music.

Spotify

Contact Details:

Spotify Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Machine Learning Engineering Manager

Tip Number 1

Network like a pro! Reach out to people in the industry, especially those at Spotify. Use LinkedIn or even Twitter to connect with current employees and ask them about their experiences. A friendly chat can sometimes lead to job opportunities that aren’t even advertised!

Tip Number 2

Prepare for interviews by diving deep into Spotify’s products and culture. Familiarise yourself with their latest features and think about how your skills can contribute to their mission. Show them you’re not just another candidate; you’re genuinely excited about what they do!

Tip Number 3

Don’t underestimate the power of a follow-up! After an interview, send a quick thank-you note to express your appreciation for the opportunity. It keeps you on their radar and shows you’re enthusiastic about the role.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the team. Keep an eye on our careers page for new openings and don’t hesitate to apply!

We think you need these skills to ace Machine Learning Engineering Manager

Generative Voice AI
Text-to-Speech (TTS)
Machine Learning
Team Leadership
Servant Leadership
Mentorship
Collaboration

Some tips for your application 🫡

Show Your Passion:When you're writing your application, let your enthusiasm for generative voice and speech shine through. We want to see how your passion aligns with our mission at Spotify, so don’t hold back!

Tailor Your Experience:Make sure to highlight your relevant experience in leading teams and working with generative AI. We’re looking for specific examples that demonstrate your ability to drive innovation and deliver results.

Be Clear and Concise:Keep your application straightforward and easy to read. We appreciate clarity, so distil complex ideas into simple concepts that showcase your understanding of the role and its challenges.

Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity with the Personalization team.

How to prepare for a job interview at Spotify

Know Your Stuff

Make sure you brush up on generative voice AI and modern audio technologies. Familiarise yourself with Spotify's features like Blend and Discover Weekly, and think about how your expertise can enhance these offerings.

Show Your Leadership Style

Prepare to discuss your approach to servant leadership. Think of examples where you've mentored team members or fostered a collaborative culture. Spotify values diversity and inclusion, so be ready to share how you've contributed to these aspects in your previous roles.

Be Ready for Technical Questions

Expect questions about technical design and architecture related to TTS and generative AI. Brush up on your knowledge of transformers and diffusion models, and be prepared to explain complex concepts in simple terms.

Align with Spotify's Vision

Understand Spotify's mission and how the Personalization team fits into it. Be ready to discuss how you can contribute to their vision of creating amazing user experiences through innovative voice technology.