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Kena.ai is an AI based music learning, practice, compose and publishing destination

Founding Machine Learning Engineer, Musical Acoustics

$0k – $10k • 0.5% – 3.5%
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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.
Location
San Francisco Bay AreaRemote
Hires remotely in
North America
Job type
Full-time
Visa sponsorship
Not Available
Experience
5+ years
Hiring contact

Preetham Vishwanatha

Avatar for Preetham Vishwanatha

Kena.ai at a glance

Kena.ai is an AI based music learning, practice, compose and publishing destination

Kena.ai focuses on Music, Machine Learning, Artificial Intelligence, and Musicians. Their company has offices in San Francisco Bay Area. They have a small team that's between 1-10 employees.

You can view their website at http://kena.ai or find them on Twitter and LinkedIn.

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