Data Engineer for Speech and Audio Pipelines
5 days ago
About the Role
At Spotify, we're looking for a skilled Data Engineer to join our Speak team. This team is responsible for developing world-class speech technologies that power personalized generative voice products at scale.
As a Senior Data Engineer, you'll build large-scale speech and audio data pipelines using frameworks like Google Cloud Platform and Apache Beam. You'll work on machine learning projects powering new generative AI experiences and help build state-of-the-art text-to-speech models.
You'll learn and contribute to the team's understanding of best practices and techniques for building data pipelines for large-scale generative models. You'll collaborate with other engineers, researchers, product managers, and stakeholders, taking on learning and leadership opportunities as they arise.
Key Responsibilities
- Design and develop scalable, testable, maintainable, and high-quality code for large-scale speech and audio data pipelines.
- Work on machine learning projects to power new generative AI experiences and improve text-to-speech models.
- Contribute to the team's understanding of best practices and techniques for building data pipelines for large-scale generative models.
- Collaborate with other teams to ensure seamless integration and alignment with company goals.
Requirements
- Bachelor's or Master's degree in Computer Science or related field.
- 3+ years of experience in Data Engineering or related field.
- Strong knowledge of programming languages such as Python or Java.
- Experience with distributed systems such as Hadoop, BigTable, Cassandra, GCP, AWS, or Azure.
- Experience with higher-level data processing frameworks such as Beam, Dataflow, Crunch, Scalding, Storm, Spark, Flink, etc.
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