Senior Machine Learning Engineering Manager - Personalization in London

Senior Machine Learning Engineering Manager - Personalization in London

London Full-Time 80000 - 100000 £ / year (est.) No working from home possible
Spotify

At a Glance

  • Tasks: Lead the Speak team to create innovative voice experiences for music and podcasts.
  • Company: Join Spotify, a leader in music and podcast personalization.
  • Benefits: Flexible work options, inclusive culture, and opportunities for professional growth.
  • Other info: Collaborative environment that values diversity and encourages unique perspectives.
  • Why this job: Shape the future of audio with generative voice AI and make a real impact.
  • Qualifications: Expertise in generative voice or audio, leadership experience, and passion for innovation.

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 Discover Weekly to AI DJ, 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 – and providing valuable context – to each and every one of them.

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 the Speak team’s delivery of new voice experiences at the heart of music and podcast sessions users love.
  • Together with a wide range of collaborators, develop a generative voice AI vision and strategy that keeps Spotify at the forefront of innovation in the field.
  • Provide servant leadership to ~20 applied research scientists, machine learning engineers, engineering and research managers, backend engineers, and data specialists.
  • Advocate for and increase knowledge of advanced voice capabilities across the company, including influencing the company’s most senior leaders.
  • Cultivate a balanced, collaborative engineering culture and a diverse and inclusive team that reflects our customers and our world.
  • Directly manage ~5-10 people.
  • Collaborate with a product lead to define strategy, success metrics and roadmaps.
  • Influence the technical design and architecture of the Speak team’s stack.
  • Collaborate with leaders throughout the company to plan and execute impactful initiatives requiring many teams.

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 and other recent technologies) 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 love facilitating collaboration among several teams, developing and growing teams and their leaders while driving delivery.
  • 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.

Senior Machine Learning Engineering Manager - Personalization in London employer: Spotify

Spotify is an exceptional employer that fosters a culture of innovation and collaboration, particularly within the Personalization team. With a commitment to diversity and inclusion, employees are encouraged to bring their unique perspectives to the table, enhancing creativity and driving impactful projects. The role offers significant growth opportunities in a flexible work environment, allowing you to lead cutting-edge advancements in generative voice AI while making a meaningful impact on millions of users worldwide.

Spotify

Contact Details:

Spotify Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Machine Learning Engineering Manager - Personalization in London

Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those at Spotify. A friendly chat can open doors that a CV just can't.

Tip Number 2

Show off your passion for generative voice AI! During interviews, share your ideas on how you’d enhance user experiences with voice tech. Let your enthusiasm shine through!

Tip Number 3

Prepare for collaborative discussions. Spotify values teamwork, so be ready to talk about how you've led teams and fostered collaboration in past roles.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team!

We think you need these skills to ace Senior Machine Learning Engineering Manager - Personalization in London

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

Some tips for your application 🫡

Show Your Passion for Personalisation:When you're writing your application, let your enthusiasm for personalisation shine through! Talk about your experiences with generative voice AI and how they relate to the role. We want to see that you’re not just qualified, but genuinely excited about making music and podcast recommendations better for users.

Tailor Your Application:Make sure to customise your CV and cover letter to highlight relevant experience in leading teams and developing innovative voice technologies. We love seeing how your unique background aligns with our mission at Spotify, so don’t hold back on those details!

Be Clear and Concise:While we appreciate creativity, clarity is key! Make your application easy to read by using straightforward language and clear examples of your achievements. This helps us quickly understand how you can contribute to our team and the exciting projects we have lined up.

Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you’re serious about joining our team!

How to prepare for a job interview at Spotify

Know Your Stuff

Make sure you brush up on the latest trends in generative voice AI and text-to-speech technologies. Familiarise yourself with Spotify's existing features like Discover Weekly and AI DJ, and think about how your expertise can enhance these offerings.

Show Your Leadership Skills

Prepare examples of how you've successfully led teams in the past. Highlight your servant leadership style and how you've mentored others to achieve their best. Spotify values collaboration, so be ready to discuss how you foster a diverse and inclusive team culture.

Be Ready to Collaborate

Think about how you would work with product leads and other teams at Spotify. Prepare to discuss strategies for defining success metrics and roadmaps, and how you would influence technical design decisions across various teams.

Communicate Clearly

Practice distilling complex concepts into simple ideas. During the interview, aim to communicate your thoughts clearly and concisely, especially when discussing your vision for generative voice AI. This will show that you can lead through ambiguity and make complex information accessible.