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 400 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, consulting position (contract) for 6 months - 12 months.
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 Master's, PhD, or advanced training in applied mathematics, engineering, computer science, or related fields.
5+ years of experience developing and implementing machine learning models and algorithms.
3+ years of experience with the aspects of acoustics, sound, and audio signals
Applying Deep learning to audio signal processing
Experience with noise and echo suppression
Experience with speech enhancement
Familiar with audio source separation
Experience with Short Term Fourier Transforms applications
Experience with the 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
Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws.
