DirecciónAbout 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, United States, Canada, and Dominican Republic and more than 450 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, contract based role.
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 code base with well-tested, production-ready code
Requirements for the role
- Applicants should have a Bachelors, 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
- Applying Deep learning on audio signal processing
- 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
Working Hours : Needs to be aligned with California hours
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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