Senior ML Engineer (Voice)

Responsibilities

As a part of the team, you will be:

• Participating in crucial product decisions.
• Studying relevant scientific papers to bring the most advanced approaches to the product.
• Developing and improving models for audio / speech processing tasks.
• Analyzing and incorporating user feedback.

Experience

• Experience in classic audio processing, speech recognition (ARS, STT), voice activity detection (VAD), denoising, intent parsing, speech synthesis, and other.
• Experience with public STT Engines — DeepSpeech, Kaldi, Nemo.
• Python proficiency.
• Pytorch / TF & standard ML / DS stack proficiency.
• Model optimization and CPU inference experience.
• Fluent English, oral and written.
• Rapid experimenting over hypothesis.
• Docker.
• Tidiness and reproducibility in research.
• Teamwork — documentation, results presentation, processing feedback from customers, code review.