About the Team
Zoom’s speech team is developing speech processing components to improve Zoom’s conversational AI experience. The team is responsible for developing state-of-the-art solutions, including automatic speech recognition (ASR), text-to-speech (TTS), speaker diarization, language identification and more.
About the Role
We are seeking a machine learning researcher/engineer, with a solid background in speech recognition and speech processing. The responsibilities of this role include: 1) developing and deploying state-of-the-art models for speech recognition, 2) collaborating with cross-functional units to improve production speech recognition models, 3) exploring novel technologies and publishing research findings in major conferences/ journals.
A PhD degree in Computer Science, Electrical Engineering or related fields; or a Master’s degree in Computer Science, Electrical Engineering or related fields with 3 years of experience in speech recognition, speech processing, and/or natural language processing.
A PhD degree in Computer Science, Electrical Engineering or related fields.
Specialization in speech recognition, natural language processing, or audio signal processing is highly desirable.
Prior experience in developing large-scale speech recognition systems for real-world applications.
Strong ability to identify challenges in speech recognition and propose solutions or improvements to existing methods.
Strong programming skills in Python; familiarity with ML frameworks such as PyTorch and TensorFlow; and experience with speech recognition toolkits and libraries such as Kaldi/k2, ESPnet, or TorchAudio.
Demonstrate strong collaboration and communication skills.
Solid understanding and scientific curiosity to learn state-of-the-art speech technologies.
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