remote
Audio Quality and Data Engineer - Hark Inc.
Data Engineer
Data Engineer to build and optimize audio quality analysis pipelines and machine learning models for high-fidelity audio processing.
About the role
Key Responsibilities
- Design and maintain data pipelines for audio quality metrics
- Develop algorithms to analyze and improve audio data quality
- Collaborate with engineering teams to integrate audio processing systems
- Optimize data storage and retrieval for large audio datasets
- Implement machine learning models for audio quality prediction
- Ensure data integrity and performance of audio processing systems
Requirements
- 5+ years in data engineering or related field
- Proficiency in Python and SQL
- Experience with audio data processing and analysis
- Knowledge of machine learning and data pipelines
- Strong problem-solving and debugging skills
Skills
pythondata pipelinesaudio analysismachine learningsql