Principal Audio Data Engineer
3 days ago
The Speak team at Spotify focuses on building world-class speech technologies for next-generation personalized generative voice products.
What You'll DoWe're looking for a Senior Data Engineer to join our team and contribute to the development of exciting new products. As a key member of our team, you will be responsible for designing and implementing large-scale speech and audio data pipelines using frameworks like Google Cloud Platform and Apache Beam.
You will work on machine learning projects powering new generative AI experiences and help build state-of-the-art text-to-speech models. Additionally, you will learn and contribute to our team's best practices and techniques for building data pipelines for large-scale generative models, including cleaning, filtering, classifying, and labeling.
To succeed in this role, you should have experience working with high-volume, heterogeneous data, preferably with distributed systems such as Hadoop, BigTable, Cassandra, GCP, AWS. You should also have experience building clean, high-quality datasets for training large-scale machine learning models, with a focus on audio data being preferred.
Required Skills and Qualifications- Data Engineering experience with knowledge of high-volume, heterogeneous data, preferably with distributed systems.
- Experience building clean, high-quality datasets for training large-scale machine learning models, with a focus on audio data being preferred.
- Proficiency in one or more higher-level Python or Java-based data processing frameworks, such as Beam, Dataflow, Crunch, Scalding, Storm, Spark.
- Strong Python programming abilities and experience with Docker, Luigi, Airflow, or similar tools.
- Familiarity with generative models or audio-based machine learning applications is highly desirable.
- Ability to manage data retention policies and care about quality and shipping high-quality code.
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