Spotify TTS Engineering Lead

2 days ago


Stockholm, Stockholm, Sweden Spotify Full time
Overview of the Role
The Speak team at Spotify is responsible for developing world-class speech technologies to power personalized generative voice products. We support various products, including DJ and AI Voice Translation. Our team focuses on designing and implementing large-scale speech and audio data pipelines using cutting-edge frameworks like Google Cloud Platform and Apache Beam. As a Senior Data Engineer, you will play a critical role in this process, working closely with engineers, researchers, product managers, and stakeholders to cultivate knowledge and best practices for building data pipelines. Your expertise in machine learning and experience with high-volume, heterogeneous data will drive the success of our AI Voice Translation products. This is an excellent opportunity to join a dynamic team and contribute to the development of innovative audio technologies.

Key Responsibilities
- Design and implement large-scale speech and audio data pipelines using frameworks like Google Cloud Platform and Apache Beam
- Work on machine learning projects that power new generative AI experiences and contribute to building state-of-the-art text-to-speech models
- Cultivate knowledge and best practices for building data pipelines for large-scale generative models, including cleaning, filtering, classifying, and labeling
- Collaborate with engineers, researchers, product managers, and stakeholders, embracing opportunities for growth and leadership
- Deliver scalable, testable, maintainable, and high-quality code while promoting standard methodologies and contributing to a culture of constructive accountability

Requirements
- Experience in Data Engineering and proficiency in working with high-volume, heterogeneous data
- Strong Python programming skills and experience with higher-level Python or Java-based data processing frameworks
- Experience with pre-trained ML models is an advantage
- Familiarity with Docker and tools like Luigi, Airflow, or similar platforms
- Quality-focused approach, agile software processes, data-driven development, reliability, responsible experimentation, collaboration, and partnership within teams

About Spotify
Spotify is a global leader in the music streaming industry, dedicated to unlocking the potential of human creativity by giving artists the tools they need to succeed. Our mission is to provide the best possible music listening experience for our users, while creating innovative products and services that delight them. We strive to foster a culture of creativity, inclusivity, and collaboration, where talented individuals can grow and thrive.

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