Speak · 2 days ago

Applied ML Engineer, Speech

San Francisco, CA

Full-time

Onsite

Senior Level

4+ years exp

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Artificial Intelligence (AI)E-Learning

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Responsibilities

Training and deploying phoneme recognition models end-to-end, including monitoring, performance tracking, and retraining

Expanding the Pronunciation Coach to provide precise feedback and integrate it broadly across the learning platform

Tracking metrics to measure performance of existing phoneme models across different markets

Building an assessment system to offer detailed feedback on pronunciation, intonation, and prosody

Building and maintaining data infrastructure such as audio data pipelines, training/evaluation datasets creation and management, labeling/active learning loop

Supporting the broader Speech & ML team by developing and localizing ASR models

Qualification

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Deep learningPythonPytorchCommunicationProblem-solvingAudio/Speech ExperiencePhoneme Recognition ModelsASR ModelsData InfrastructureAudio Data PipelinesTraining/Evaluation DatasetsLabeling/Active Learning