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


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


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



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



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



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


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


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



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



University of Southern California

Job Opportunities at Humtap

Mobile Audio Developer


  • 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

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 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!