Senior Speech ML Engineer — Scalable ASR & Real‑Time Insights

Level AI; Mountain View (CA); On-site; USD 120,000 - 170,000; Full time

Job summary

Level AI, headquartered in Mountain View, CA, is seeking an AI engineer to advance its ASR pipeline and deploy deep learning models for speech recognition. The candidate will work with a team tackling transcription, diarization, and voice activity detection, applying state-of-the-art ASR techniques in an agile setting.

The role requires 2+ years in DL for speech, a CS degree, and strong Python/PyTorch skills.

Qualifications

• Bachelor's degree in CS or related field from a tier-1 institute.
• 2+ years of experience deploying DL models for speech recognition.
• Awareness of state-of-the-art research in speech recognition and signal processing.
• Algorithm and model development experience for large-scale applications.
• Strong knowledge of Machine Learning fundamentals.
• Experience with Python and PyTorch.

Responsibilities

• Work on problems arising in speech-to-text pipelines, such as transcription, diarization, voice activity detection.
• Train, deploy and maintain scalable automatic speech recognition pipelines to power Level AI’s ASR engine.
• Keep abreast of SOTA techniques in ASR and exchange knowledge with colleagues.
• Work with other team members to develop the architecture & design of systems.
• Ability to independently conduct experiments with model architectures, training schemes, and approaches proposed in ASR literature.
• Work in an agile environment to deliver high-quality products.

Skills

Python

PyTorch

ML fundamentals

Speech recognition

Algorithms & modeling

Deep learning basics

Education

Bachelor's degree in Computer Science

Job description

Level AI, headquartered in Mountain View, CA, is seeking an AI engineer to advance its ASR pipeline and deploy deep learning models for speech recognition. The candidate will work with a team tackling transcription, diarization, and voice activity detection, applying state-of-the-art ASR techniques in an agile setting.

The role requires 2+ years in DL for speech, a CS degree, and strong Python/PyTorch skills.