Machine Learning Engineer (Speech) - AI

Roles and Responsibilities :

• Work on problems arising in speech-to-text pipelines, such as voice activity detection, transcription, automatic speech recognition (ASR) speaker diarization (SD).
• Train, deploy and maintain scalable speech-to-text pipeline to power Level AI’s ASR engine.
• Keep abreast with SOTA techniques in your area and exchange knowledge with colleagues.
• Work with other team members to develop 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.

Requirements :

• Bachelors in Computer Science or Electrical Engineering or related fields.
• Strong knowledge of Machine Learning fundamentals and Deep learning architectures like Transformer, Conformer etc.
• Hands on experience on building CTC & Attention based encoder-decoder models for ASR.  
• Hands-on experience with Python, Linux  and a Deep Learning framework like Pytorch/Tensorflow.
• Strong software engineering abilities so as to convert research into production worthy deployments.
• Experience in building text-to-speech (TTS) & punctuation restoration for ASR noisy transcripts is a plus.
• Awareness of state of the art research in Speech & NLP domain is a must.