Machine Learning Engineering Manager

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.