Machine Learning Engineer
Engineering | Part-time | Volunteer
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.
Comfortable programming in Python, some knowledge of JS and/or C++ would be a bonus.
Experience building and deploying models from academic papers/research using PyTorch or Tensorflow and any cloud framework.
Decent understanding of modern cloud infra/deployments.
Prior industry experience in AI Voice Recognition/Audio Signal Processing or research publications.
Experience working with/building scalable data pipelines like Hadoop or Spark.
Benefits and Perks
Mentorship opportunities with a Facebook Product Designer and senior mentors with past experience working at companies, including Amazon and Vision Critical
Optional participation in pitching competitions and start-up accelerator programs