Research Engineer - Audio / Sound - Hybrid or Remote
It has been forecasted that the audio AI market will have climbed to $1.2b as we reach 2022, and artificial intelligence as an innovation is already making a ground-breaking influence in a variety of industries. As a Research Engineer, you could embed yourself within this advancing field and work at the very cutting edge where your research will be valued and your algorithms implemented into prestigious products.
This technology is now having a global impact and the Research Engineer will be working on developing the next generation of algorithms by evaluating novel methods and solutions on large data sets. The Research Engineer will be working for a global leader that has a proud record of patents and publications in the fields of ML, Signal processing, Audio and Sound.
Research Engineer Requirements:
Minimum 2 years of work experience if you hold a Master’s degree, PhD (topic involving machine learning to solve a perceptual AI use cases) entry level; or equivalent education and experience combination
Skills in machine learning / deep learning in solving real user experiences
Keras, Tensorflow, PyTorch, SciKit-Learn & Python
A desire to contribute innovation, foreseeing machine learning-based solutions being delivered on user experience specifications
Excellent skills in problem-solving, communication, research and evaluation
Desirable: An interest in developing deep learning solutions for digital signal processing, such as time series processing; Experience with audio source separation; Experience with machine learning solution integration into product operations or Speech Enhancement
With the exciting expansion of this company, this opportunity could bring you great career growth as well as the opportunity to contribute your own innovative ideas. Apply now for immediate consideration. This role could be hybrid or fully remote.
