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Machine Learning Engineer (Speech)


Full time


About the Role

Level AI is a Series B funded Mountain View, CA-based startup innovating in the Voice AI space. We are backed by top VCs, technologists from Silicon Valley, and industry experts. We are on a mission to revolutionize the customer sales experience for businesses. We are innovating in speech AI, NLP/NLU, and information retrieval systems to bring customers and businesses closer to one another.

As a critical member of the team, your work will be cutting-edge technologies and will play a high-impact role in shaping the future of AI-driven enterprise applications. You will directly work with people who've worked at Amazon, Facebook, Google, and other technology companies in the world. With Level AI, you will get to have fun, learn new things, and grow along with us.

Responsibilities :

  • Work on problems arising in speech-to-text pipelines, such as transcription, diarization, voice activity detection.

  • Train, deploy and maintain scaleable automatic speech recognition pipelines 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.

Qualifications :

  • Bachelors in Computer Science or related fields.

  • Experience deploying Deep Learning based models for speech recognition pipelines.

  • Algorithm and model development experience for large-scale applications.

  • Strong knowledge of Machine Learning fundamentals.

  • Experience with Python and a Deep Learning framework like Pytorch/Tensorflow.

  • Awareness of state of the art research in speech recognition and Signal processing communities.

Compensation:We offer market-leading compensation, based on the skills and aptitude of the candidate

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