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:

• 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.

Nice-to-have:

• 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