Machine Learning Engineer II, Speak

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.
Within Personalization, the Speak product area crafts voice models that match human-level emotional ability, so we can deeply engage our listeners and support creators, at scale. Our groundbreaking work on speech synthesis relies on state-of-the-art deep learning methods and evaluation techniques, highly efficient data processing and model serving, and capturing audio of outstanding quality from our voice actors.
We’re looking for machine learning (ML) engineers to join the Speak engineering team, with a focus on optimizing our models to suit our partners across Spotify. You’ll analyze performance at inference time, and develop improvements that balance latency, costs, quality, and feature support.

What You'll Do

• Eliminate inefficiencies and streamline inference for our speech synthesis models.
• Optimize our model architectures to meet the requirements of our partner teams, and develop benchmarks.
• Be part of an engineering team at Speak dedicated to building and serving our models at scale, as well as an active group of machine learning practitioners in the Personalization mission and across Spotify.
• Collaborate with our research team to contribute, design, build, evaluate, and refine our models.

Who You Are

• You have a strong background in ML, with experience and expertise in developing models for natural language processing (NLP) using PyTorch.
• You have hands-on experience developing production machine learning systems in Java, Python, or similar languages.
• You focus on efficiency, always looking for ways to improve the performance of your models. Experience with TorchScript, ONNX, TensorRT, or CUDA Graphs is a plus.
• You care about agile software processes, data-driven development, building secure and reliable systems, and principled experimentation.

Where You'll Be

• We are a distributed workforce enabling our band members to find a work mode that is best for them!
• Where in the world? For this role, it can be within the EMEA region in which we have a work location
• Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.
• Working hours? We operate within the Central European time zone for collaboration

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.
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.