Sr. Machine Learning Engineer (Speech)

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.

Skills
Machine Learning, Python, PyTorch

Experience
2-5 yrs