Humtap – Job Opportunity
Machine Learning Software Engineer
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.
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.
· 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 email@example.com with your resume and answers to the below.
- Your relevant Github profile, LinkedIn, artist page on SoundCloud or YouTube.
- Tell us about your experience designing Deep Neural Networks.
- What Deep Learning Architectures are you familiar with? i.e. LSTM networks, Convolutional Networks, etc. and provide references if possible.
- What are you musical interests? Have you ever played an instrument, in a band or an orchestra?
- 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.
- What interests you the most about this opportunity?
- Which qualities do you believe will help you succeed in this role?
Compensation includes salary and equity.
Thank you for applying!