Vue d'ensemble

Job description

You will join the team as a Senior Machine Learning Scientist, in charge of developing Wisear’s algorithms to decode EEG and EMG signals .
Your main tasks will include :

  • Keep up to date with the latest advances of the scientific literature and leverage our scientific partnerships to ensure that our technology remains at the forefront of innovation
  • Design data collection campaigns in order to build our internal datasets
  • Design and implement machine learning and deep learning algorithms for both existing and future product use cases developed by Wisear

 

Candidate profile

We are looking for a highly motivated candidate with the following experience and skills.

Must have:

  • 3+ years of experience as a ML Researcher / Data Scientist
  • Strong theoretical background in Statistics and Probabilities
  • Strong theoretical background in Machine Learning and Deep Learning
  • Strong experience in designing computationally efficient algorithms
  • Python
  • Scikit-learn
  • TensorFlow / PyTorch
  • Jupyter notebooks
  • English at a conversational level

Nice to have:

  • Experience or theoretical background in Digital Signal Processing
  • Git

Considering that the company is at a rather early stage, each team member will have a strong impact on the project. We are looking for a teammate who demonstrates drive and autonomy, and shares our genuine curiosity and strong interest for this marvelous topic that is understanding the brain!

À propos de Wisear

Wisear develops a solution that allows audio manufacturers to transform their true wireless earphones into brain recording devices.

Today we are able to record brain and muscle electrical activity - called electroencephalogram (EEG) or electromyogram (EMG) - using electrodes placed on the scalp. The extent of the potential use cases is massive (medical diagnosis, controlling devices, relaxation coaching, etc.). But the size and looks of current devices prevents their usage by the public on a daily basis, as would be necessary to unlock the most promising use cases.

Recent progress in the technology now allows recording EEG/EMG signals using electrodes placed in the ear. It is then possible to include this technology in devices such as true wireless earphones, which will open neuronal recording to a large audience.

Wisear builds the first EEG/EMG data processing solution for earphones makers, along with accompanying them to turn their earphones into brain recording devices. The first use cases we cover allow people to control their devices using their brain and facial muscle activity. This is just a first step to unlock the potential of this technology and we are convinced that in the near future, this will be a key technology for early diagnosis and treatment monitoring of brain pathologies (e.g. epilepsy, ADHD, depression, Parkinson’s, etc.)

Must Have

Machine Learning, Data Scientist profile, Stats & probabilities, Deep Learning, Algorithms, Python, PyTorch, Tensorflow, Jupyter, English language

Nice to have

Digital Signal Processing, Git, French language

Méthodologie(s)

Start-up