Research Scientist - Voice AI Foundations

September 16

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Speech Search • Transcription • Speech Recognition • Audio Understanding • Speech Analytics

51 - 200

💰 $47M Series B on 2022-11

Description

• Design and carry out experimental programs to build new speech and language AI foundation models across modalities and tasks, that solve critical problems for our customers. • Drive large-scale training jobs successfully on massive distributed computing infrastructure. • Optimize model architectures to make them as fast and memory-efficient as possible; deploy new models into production for use at massive scale. • Document and present results and complex technical concepts clearly for internal and external audiences • Stay up to date with the latest advances in deep learning with a particular eye towards their implications and applications within our products.

Requirements

• PhD in Physics, Electrical Engineering, Computer Science or another related field • Prior experience in designing and conducting experimental programs aimed at understanding complex phenomena, with the ability to rapidly iterate and change course as needed. • Proven experience building models from a blank page and owning the entire deep learning stack including data curation, characterization and cleaning, architecture design and model building, distributed large-scale training, and model optimization for inference. • Strong communication skills and the ability to translate complex concepts in simple terms, depending on the target audience • Strong software engineering skills with particular emphasis on developing clean, modular code in Python and working with Pytorch.

Benefits

• Offers Equity • Offers Bonus