Protege

1 month ago

Machine Learning Researcher, Audio

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Machine learning researcher focusing on audio data quality, evaluating large-scale speech datasets, and developing metrics and evaluation frameworks to improve downstream ML performance.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Research audio data quality for machine learning by investigating how audio quality, signal properties, dataset composition, and localized acoustic issues affect downstream model training, evaluation, and deployment.
•Develop new metrics, benchmarks, diagnostics, and evaluation frameworks for measuring audio data quality in ways that are predictive of ML model performance.
•Speech dataset characterization and metrics: analyze Protege’s audio catalog and maintain quality scorecards and metrics for key speech datasets, including properties like bandwidth, noise, clipping, reverberation, and codec artifacts.
•Segment-level quality evaluation: build workflows to evaluate diarized or segmented speech regions and surface localized degradation.
•Model and data evaluation: design and run targeted evaluations connecting audio quality issues to downstream model behavior (ASR, speaker embeddings, synthesis quality) and identify better metrics when current approaches are insufficient.

Key Requirements

•PhD or equivalent Master’s degree + 4+ years of industry experience in machine learning, audio signal processing, speech technology, computer science, statistics, engineering, or a related quantitative field.

Experience:4+ yearsAudioSpeechMachine learningData quality

Education:Master's

Skills:Audio processingMachine learningSignal processingData qualityEvaluationASRTTSSpeaker modelingMultimodal

Tech Stack:PythonPytorchNumpySciPy

Company Brief

Protege

Provides a privacy‑first platform that connects data holders with vetted AI developers to license and deliver high‑quality, multimodal training and evaluation datasets across healthcare, media, audio, and motion capture.

Industry: Data Infrastructure

Company Size: Small (11 to 50 employees)

Growth: Growth Stage Startup

Funding: Series A

Headquarters: New York City, United States

Founded: 2024

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

Protege

1 month ago

Machine Learning Researcher, Audio

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Machine learning researcher focusing on audio data quality, evaluating large-scale speech datasets, and developing metrics and evaluation frameworks to improve downstream ML performance.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Research audio data quality for machine learning by investigating how audio quality, signal properties, dataset composition, and localized acoustic issues affect downstream model training, evaluation, and deployment.
•Develop new metrics, benchmarks, diagnostics, and evaluation frameworks for measuring audio data quality in ways that are predictive of ML model performance.
•Speech dataset characterization and metrics: analyze Protege’s audio catalog and maintain quality scorecards and metrics for key speech datasets, including properties like bandwidth, noise, clipping, reverberation, and codec artifacts.
•Segment-level quality evaluation: build workflows to evaluate diarized or segmented speech regions and surface localized degradation.
•Model and data evaluation: design and run targeted evaluations connecting audio quality issues to downstream model behavior (ASR, speaker embeddings, synthesis quality) and identify better metrics when current approaches are insufficient.

Key Requirements

•PhD or equivalent Master’s degree + 4+ years of industry experience in machine learning, audio signal processing, speech technology, computer science, statistics, engineering, or a related quantitative field.

Experience:4+ yearsAudioSpeechMachine learningData quality

Education:Master's

Skills:Audio processingMachine learningSignal processingData qualityEvaluationASRTTSSpeaker modelingMultimodal

Tech Stack:PythonPytorchNumpySciPy

Company Brief

Protege

Industry: Data Infrastructure

Company Size: Small (11 to 50 employees)

Growth: Growth Stage Startup

Funding: Series A

Headquarters: New York City, United States

Founded: 2024

Website LinkedIn