Machine Learning Engineer
Engineering | Part-time | Volunteer
Deadline: Ongoing
Description
As a part of the engineering team, you'll be building algorithms for real-time audio analysis - mainly speech recognition, speaker separation, diarization, and speaker identification.
Requirements:
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Comfortable programming in Python, some knowledge of JS and/or C++ would be a bonus.
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Experience building and deploying models from academic papers/research using PyTorch or Tensorflow and any cloud framework.
Nice-to-have:
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Decent understanding of modern cloud infra/deployments.
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Prior industry experience in AI Voice Recognition/Audio Signal Processing or research publications.
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Experience working with/building scalable data pipelines like Hadoop or Spark.
Benefits and Perks
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Mentorship opportunities with a Facebook Product Designer and senior mentors with past experience working at companies, including Amazon and Vision Critical
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Optional participation in pitching competitions and start-up accelerator programs
Come Work with Us
Please fill out this application below. If you encounter any issues or have any questions, you can contact us at