almost 3 years ago
Bengaluru, IndiaSenior
Responsibilities
- Develop speech-to-text pipelines for transcription, diarization, and voice activity detection.
- Train, deploy, and maintain scalable automatic speech recognition pipelines for the ASR engine.
- Research state-of-the-art speech recognition techniques and share knowledge with colleagues.
- Conduct experiments with model architectures, training schemes, and approaches from ASR literature.
- Collaborate on system architecture and design.
- Develop algorithms and models for large-scale applications and deliver products in an agile environment.
Requirements
- At least 2 years of experience and a bachelor's degree in Computer Science or a related field from a tier-1 engineering institute.
- Experience deploying deep learning-based models for speech recognition pipelines.
- Awareness of state-of-the-art research in speech recognition and signal processing.
- Experience with algorithm and model development for large-scale applications.
- Strong knowledge of machine learning fundamentals.
- Experience with Python and PyTorch.
Categories
About Level AI
Level AI builds a conversational intelligence platform for enterprise contact centers, combining speech AI, NLP, and retrieval to analyze customer interactions and drive QA, coaching, automation, and analytics. It sells its software to large customer service and sales teams, typically via subscription. Founded in 2018 and headquartered in Mountain View, the company is Series C–funded, with customers such as Wayfair, Smartsheet, Chime, Gusto, and Swiss Re.