
Large Data Pipelines and AI Models Expert
2 days ago
As a Senior Data Engineer on the Speak team at Spotify, you will play a key role in designing and implementing large-scale speech and audio data pipelines using cutting-edge frameworks like Google Cloud Platform and Apache Beam. Your expertise in machine learning and experience with high-volume, heterogeneous data will drive the success of our AI Voice Translation products. You will work closely with engineers, researchers, product managers, and stakeholders to cultivate knowledge and best practices for building data pipelines. This includes cleaning, filtering, classifying, and labeling large datasets, ensuring scalability, testability, maintainability, and high-quality code. Additionally, you will promote standard methodologies and contribute to a culture of constructive accountability. If you have a passion for innovation and a desire to make a meaningful impact, this is an exciting opportunity to join our dynamic team and contribute to the development of groundbreaking audio technologies.
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
Benefits
Spotify offers a comprehensive benefits package, including competitive salary, stock options, and generous parental leave. Our team members enjoy flexible working hours, remote work options, and access to the latest technology and tools. We prioritize diversity, equity, and inclusion, creating a welcoming environment for talented individuals from diverse backgrounds. At Spotify, we believe in continuous learning and professional growth, providing opportunities for skill development and career advancement.
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