If you are a Techstars portfolio companyclaim your profile.




Data Science
Paris, France
Posted on Wednesday, January 27, 2021

IMPORTANT: Please visit https://wisear.welcomekit.co/ if you want to apply to our positions. Thanks!
The applications on Angellist will not be consulted. Only the ones that have been sended by the link above will be processed.

Our Story:
Wisear is a young DeepTech start-up. We build the next-generation of controls for your everyday devices. We enable people to have hands-free & silent controls over their earphones, AR or VR headset by developing the first neural interface that fits in any consumer electronics.
Over our first two years of existence we secured a first deal with a large device maker, developed the first generation of our neural activity detection algorithms and secured 2M€ fundings to grow the team.
We’ve now reached a point where we can start selling our tech to large device makers and we need to scale our team to do so.

Our Vision
Over the past 30 years, we have expanded our human capabilities through digitalization. This has made us more productive but our interfaces to interact with them haven’t kept up. Keyboards and mice, 30 years old inventions, have remained the standard & voice is still slow & not private.

With wearables becoming universal (e.g.: earphones, smart watches…) and the advent of the metaverses, our digital capabilities are poised to expand even faster and be even more integrated in our daily lives. We need to rethink how we interface with the digital world.

This is the problem we are solving at Wisear. We build the next-generation of human-machine interface. We record and analyze bioelectrical activity coming from the user's eyes (ElectroOculography), facial muscle (ElectroMyography) & brain (ElectroEncephalography) to transform it into hands-free, silent & inclusive controls.

Wisear builds the first bioelectrical data processing solution for earphones & AR/VR headsets manufacturers, along with accompanying them to turn their devices into brain recording devices. The first use cases we cover allow people to control their devices using their brain and facial muscle activity. We are convinced that in the near future, ear-EEG will be a key technology for early diagnosis and treatment monitoring of brain pathologies (e.g. epilepsy, ADHD, depression, Parkinson’s, etc.).

Job Description
You will join the team as a Data Scientist, to design and implement Machine Learning and Signal Processing algorithms in order to create or improve the different solutions developed by Wisear. Your main tasks will include :

• Review scientific literature
• Design and run recordings on subjects in order to collect labeled data
• Design and implement artificial intelligence algorithms based on EMG, EOG and EEG data
• Collaborate with academic partners

Preferred Experience
We are looking for a highly motivated engineering student with strong knowledge and skills in the following areas :

• Machine Learning and Deep Learning
• Digital Signal Processing
• Python
• Coding best practices and tooling (e.g. git)
• English at a conversational level

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 for human-machine interfaces.