AI engineers specialized in music, musicians, music industry veterans and business builders.


Tamer

Founder and CEO
CEO, Merrill Lynch MENA
Managing Director, Bank of America
Board Director, Plan Int’l USA
Musician
Innovator and holder of 9 patents
London Business School


Julien

Co-Founder, MIR Engineering
Researcher – IRCAM, Univ. of Paris
Work featured in Wired
Winner, Margaret Guthman
Jazz Musician
PhD, IRCAM, Univ. of Paris


Sebastian

 
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Music Production
Lecturer, Abbey Road Institute
Musicologist
Pianist
Music Production & Sound Engineering Diploma, Abbey Road Institute
BME, Pädagogische Hochschule Tirol


Carlos

 
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Music Production
Abbey Road Institute
Musician
Researcher, Imperial College London
PhD, Autónoma University of Madrid


Dave

 
Dave.jpg
 

Music Production
Producer & DJ
Violinist, Pianist, Writer & Composer
Adv. Diploma, Abbey Road Institute
BA, Durham University


Kelli

Business Development
CEO, The All Access Group
Music Tech 'Super Connector'
Original Music Exec, Apple Inc.
A&R Exec, EMI Music
Thought Leader, articles in Fast Company,
TechCrunch, Forbes, Fortune, Huffington Post


Serkan

Co-Founder, Audio Engineering
Lead Engineer, Native Instruments (#1 DJ software)
Musician
MSc Computer Science, Tech Univ. Berlin


Pierre

 
 

Machine Learning Researcher
PhD, LIF, Aix-Marseille University
MSc., IRCAM, Univ. of Paris
Inria Rennes-Bretagne Atlantique


Jasper

 
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Researcher
University of Southern California


Job Opportunities at Humtap


Mobile Audio Developer

Role:

  • Own & maintain the audio engine
  • Help with composition code integration

Core Skills:

  • Real time audio on mobile
  • Swift, C++, Objective C, Python

Bonus for:

  • Experience with algorithmic composition
  • Experience with Tensor Flow
  • Experience with JUCE

 

To apply or request more information please contact Julien Bloit at julien@humtap.com


Machine Learning Software Engineer

 

Our Company

Humtap is a startup based in Silicon Valley, CA, that develops an Artificial Intelligence capable of composing and producing music for consumers and businesses alike including video commercials.

We are welcoming new talents and engineers to be part of our mission and journey to democratize music making. While, your role would ideally take place in Silicon Valley, you may also be offered the opportunity to work remotely.

 

Your Role

As a Machine Learning Software Engineer, you will be facing a challenging and exciting opportunity to innovate. You can expect to undertake tasks such as optimizing generative processes, extending existing models and developing new training methods, implementing novel deep learning architectures applied to music composition, orchestration and synthesis.

Your work will directly impact the company’s progress towards fulfilling its vision of establishing Humtap as one of the greatest music composers and producers.

 

Required Qualifications

  • Minimum 2 years designing and implementing Deep Neural Networks experience
  • Familiar with at least the original LSTM & WaveNet papers
  • Computer Science bachelor degree
  • Strong interest in music
  • Having participated in research publications

 

Please email us at hr@humtap.com with your resume and answers to the below:

  1. Your relevant Github profile, LinkedIn, artist page on SoundCloud or YouTube.
  2. Tell us about your experience designing Deep Neural Networks.
  3. What Deep Learning Architectures are you familiar with? i.e. LSTM networks, Convolutional Networks, etc. and provide references if possible.
  4. What are you musical interests? Have you ever played an instrument, in a band or an orchestra?
  5. Please include any web link(s) and/or relevant description(s) of past projects you have worked on, whether they are related to Computer Science / Artificial Intelligence or not.
  6. What interests you the most about this opportunity?
  7. Which qualities do you believe will help you succeed in this role?

 

Compensation includes salary and equity.

Thank you for applying!