Cette offre n’est plus disponible.

Machine learning and signal processing engineer

CDI
Paris
Salaire : Non spécifié
Télétravail occasionnel
Expérience : > 4 ans
Éducation : > Bac +5 / Doctorat

FeetMe
FeetMe

Cette offre vous tente ?

jobs.faq.title

Le poste

Descriptif du poste

FeetMe is looking for a Machine Learning and Signal Processing Engineer to join our team to participate in the development of new functionalities of our products as well as new technologies and new products.
Our connected smart insoles contain pressure and motion sensors, and your main mission will be to extract from these signals additional information and results, which then will become a part of the product features. The example of such features can be gait parameters, biofeedback rehabilitation exercises or user’s activities recognition. These developments will require the use of both machine learning and classical signal processing tools and will typically imply time series analysis. Calculation power based on the algorithm complexity will also be considered (CPU, RAM, and real time computing) and algorithm optimisations might be necessary sometimes. For a successful carrying out of the mission close interaction with the developers as well as the data scientists will be essential. Last, but not least, the position will demand thorough validation and documentation process both of the code and of the algorithm performance.


Profil recherché

Required skills

We are searching for a candidate with the following skills:

  • Master’s Degree or PhD in signal processing, robotics or applied mathematics
  • Strong interest and rigor in R&D with more than 5 years of experience
  • Experience in signal processing: denoising, features extraction, wavelets, frequency analysis, FIR and IIR filters
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  • Experience in Deep Learning with TensorFlow, PyTorch, Keras etc.
  • Experience and/or strong interest for human biomechanics will be a strong asset
  • Strong analytical and quantitative problem-solving skills.
  • Good skills in Python and C/C++ programming
  • Experience in the development of inertial navigation systems (INS) is an asset.
  • A drive to learn and master new technologies and techniques.
  • Good oral and written communications skills to interact with other developers and application engineers daily

Déroulement des entretiens

HR interview
technical test
technical interview

Envie d’en savoir plus ?

D’autres offres vous correspondent !

Ces entreprises recrutent aussi au poste de “Data / Business Intelligence”.

Voir toutes les offres