Audio ML Researcher: Data Quality & Evaluation

Protege; United States; Remote; USD 100,000 - 150,000; Full time

Job summary

Protege is looking for a skilled Machine Learning Researcher to enhance audio data quality in AI training. This role involves investigating how audio properties and dataset conditions impact model performance, developing new evaluation metrics, and improving dataset consistency.

With a strong background in machine learning, audio signal processing, and excellent communication abilities, you'll execute original research and collaborate across teams to ensure high-quality audio datasets facilitate cutting-edge AI development.

Qualifications

• 4+ years of industry experience in machine learning, audio signal processing, or related field.
• Experience designing and running audio analyses or benchmarks.
• Strong understanding of speech/audio data and its properties.

Responsibilities

• Research audio data quality for machine learning applications.
• Develop new metrics and evaluation frameworks for audio data.
• Analyze and summarize Protege’s audio catalog and maintain quality scorecards.
• Build workflows to evaluate audio degradation in segmented speech.
• Work with cross-functional teams to communicate the value of audio data.

Skills

Machine learning

Audio signal processing

Data evaluation

Statistical analysis

Excellent communication

Education

PhD or equivalent Master’s degree

Job description

Protege is looking for a skilled Machine Learning Researcher to enhance audio data quality in AI training. This role involves investigating how audio properties and dataset conditions impact model performance, developing new evaluation metrics, and improving dataset consistency.

With a strong background in machine learning, audio signal processing, and excellent communication abilities, you'll execute original research and collaborate across teams to ensure high-quality audio datasets facilitate cutting-edge AI development.