Voice is quickly becoming the interaction modality of choice for everything from your phone to smart speaker to car. But have you ever wondered what happens between you speaking and magically starting on the perfect audio journey, whether with your favorite artist or podcaster? At Spotify Voice, we are responsible for making sure that Spotify listeners get what they’re asking for, no matter whether they ask for it via the “Hey, Spotify” wakeword, on our amazing Car Thing in-car voice-powered audio player, on a home speaker via Alexa or Google, or on their phone via Siri, Google, or Samsung Bixby. We make sure to properly understand what the user said via state-of-the-art Natural Language Processing techniques, apply arbitration and routing logic between possible fulfillment paths, and plug into Spotify’s world-class search indexing and retrieval system to find the perfect content among hundreds of millions of tracks, playlists, podcasts, and other audio content.
We are looking for a Senior ML Engineer to join the Spotify Voice family. We want somebody who can dive into the world of NLU and NLP models, leverage intelligent data annotation and sampling techniques, integrate with search retrieval and ranking systems, and apply modern techniques leveraging multiple models and data sources for optimizing the user experience via targeted experimentation. You will be working with a multi-functional team of impactful linguists, ML NLU/NLP experts, as well as data and backend engineers. The team is spread across Boston, New York, and Stockholm, with remote contributors from across the US. We are looking for somebody with broad ML expertise, strong production experience, and a respect for solid engineering practices to join the team and help us build and scale for the next decade in Voice. If this sounds interesting to you, and you’re ready to join a team that values communication, humility, and a growth mindset, then come join us and you’ll keep millions of users listening to excellent audio recommendations every day, on their phone, in the car, and at home!