Audio ML Researcher: Data Quality & Evaluation

Protege; New City (NY); On-site; USD 110,000 - 140,000; Full time

Job summary

Protege is seeking a Machine Learning Researcher in New City, NY, focused on optimizing audio data quality for machine learning. You will work on evaluating large-scale speech datasets and developing new metrics and methods for audio quality assessment.

The ideal candidate holds a PhD and has over 4 years of experience in machine learning and audio signal processing. Join us to shape the future of high-quality AI training data!

Qualifications

• 4+ years of industry experience in machine learning, audio signal processing, or related fields.
• Experience designing and running data evaluations, audio analyses, and benchmarks.
• Strong understanding of speech/audio data, codecs, bandwidth, and perceptual quality.

Responsibilities

• Research audio data quality for machine learning.
• Develop metrics, benchmarks, diagnostics, and evaluation frameworks.
• Analyze Protege’s audio catalog and maintain quality scorecards.
• Build workflows for segment-level quality evaluation.
• Translate research findings into reproducible filtering rules.

Skills

Audio signal processing

Machine learning

Data evaluation

Research methodology

Education

PhD or equivalent Master’s degree

Job description

Protege is seeking a Machine Learning Researcher in New City, NY, focused on optimizing audio data quality for machine learning. You will work on evaluating large-scale speech datasets and developing new metrics and methods for audio quality assessment.

The ideal candidate holds a PhD and has over 4 years of experience in machine learning and audio signal processing. Join us to shape the future of high-quality AI training data!