Applied Machine Learning Engineer, Speech and Audio Systems

LATAM Technology

About Fusemachines

Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, the United States, Canada, and the Dominican Republic and more than 250 full-time employees) Fusemachines seeks to bring its global expertise in AI to transform companies around the world.

About the role

This is a remote, full-time consulting position (contract).

Role scope

  • Develop novel algorithms and models to solve complex problems at the intersection audio, acoustics, and data science
  • You will improve, verify, and debug audio features.
  • Contribute to developing codebase with well-tested, production-ready code

Requirements for the role

  • Applicants should have a Masters, PhD, or advanced training in applied mathematics, engineering, computer science, or a similar related field.
  • 5+ years experience with development and implementation of machine learning models, and algorithms.
  • 3+ years experience with the aspects of acoustics, sound, and audio signals.
  • Demonstrated experience with Source Separation Problem
  • Experience with Short Term Fourier Transforms applications
  • Experience with implementation of Auto-Filtering and Wiener Filtering
  • Familiar with deep learning frameworks such as Tensorflow and Pytorch
  • Highly competent in algorithms and programming; Strong coding skills in C/C or Python
  • Excellent communication skills both written and verbal

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.



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