Job Description

What you'll do

Lead research on ASR models focused on accuracy, latency, and robustness Design and train speech-to-text models for noisy, accented, and low-resource settings Improve streaming and real-time decoding pipelines Experiment with architectures, loss functions, and data strategies (augmentation, semi-supervised learning, distillation) Translate research ideas into production-ready systems Collaborate closely with infra, product, and voice engineering teams

What we're looking for

Strong background in ASR / speech research Hands-on experience with deep learning frameworks (PyTorch preferred) Experience with streaming or low-latency ASR systems Familiarity with modern ASR architectures (CTC, Transducers, attention-based, hybrid) Ability to think end-to-end: data model deployment Prior work in multilingual or accented speech is a strong plus

Great to have

Publications in top speech / ML conferences Experience deploying models in real-time production systems Exposure to conversational AI

Years of Experience

3-6 years of specialized experience in speech through academia or industry

Education

Masters or PhD in Speech

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Note - we often make exceptions and hire brilliant candidates regardless of years of experience or education - proof of work is paramount


Compensation Range: $60K - $100K