Audio ML Researcher: Data Quality & Evaluation

Protege; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Protege in the United States is seeking a Machine Learning Researcher focused on audio data quality to lead evaluation and improvement of large-scale speech datasets used to train ML models.

You'll research metrics, build benchmarks, and develop frameworks to predict downstream performance, then translate findings into practical tools and quality gates.

This role blends research with production implementation and requires a PhD or equivalent and 4+ years in ML/audio.

Qualifications

• PhD or equivalent Master’s degree in ML, signal processing, CS or related field.
• 4+ years industry experience in machine learning, audio data, or speech tech.
• Experience designing and running data evaluations, benchmarks, ablations.
• Strong understanding of audio data properties and codecs.
• Excellent written and verbal communication.

Responsibilities

• Research audio data quality metrics and benchmarks.
• Characterize Protege’s audio catalog with scorecards.
• Develop scalable tools for audio quality analysis.
• Link audio quality to downstream model performance.
• Collaborate with ML researchers, data engineers, and partners.

Skills

Data evaluation design

Audio signal processing

ML evaluation benchmarks

Communication skills

Education

PhD or Master’s degree in a quantitative field

Job description

Protege in the United States is seeking a Machine Learning Researcher focused on audio data quality to lead evaluation and improvement of large-scale speech datasets used to train ML models.

You'll research metrics, build benchmarks, and develop frameworks to predict downstream performance, then translate findings into practical tools and quality gates.

This role blends research with production implementation and requires a PhD or equivalent and 4+ years in ML/audio.