Founding Machine Learning Engineer, Musical Acoustics

You must have at least 5+ years of experience working in Machine Learning in Signal Processing space and should be deep and hands-on with the aspects of Musical Acoustics. This role is quite intense and crucial for the success or failure of Kena.ai.

- Deep Learning using Tensorflow, PyTorch
- Must be musically inclined. Must be able to understand the compositional constructs of music.
- Machine Learning in Digital Signal Processing
- Deep Learning for raw spectra and spectral data
- Acoustics, Raw Audio Processing
- Spectral Audio Signal Processing
- Spectral Audio Modeling
- Statistical Signal Processing
- Convex Optimization, Time Series, Component Analysis, Clustering
- WaveNet, GANSynth
- LibROSA, Scikit learn, Numpy
- Music Theory is preferable

Job Details and Caveats.
- Prefer candidates from the Bay Area as proximity enables speed for startups
- Should be authorized to work in the United States
- Looking for founding engineers and co-founders only at this time who can work for equity prior to fundraise.
- Kena.AI is pre-seed and still in the MVP development stage.