About the role
Responsibilities:
- Work on problems arising in speech-to-text pipelines, such as transcription, diarisation, and 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 and 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.
Requirements:
- 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.
- Algorithm and model development experience for large-scale applications.
- Strong knowledge of machine learning fundamentals.
- Experience with Python and PyTorch.