Your main responsibilities will be 

  • Develop AI algorithms in our application and computer vision team, for our spectral imaging systems for consumer-oriented applications;
  • Steer the engineering team to optimize the camera products and production test based on the application requirements;
  • Co-define and execute the company AI and application roadmap.

Your profile, skills and talents

Ideally you are creative and self-dependent, highly-motivated to be part of a dynamic team creating new value, continuously and actively seeking better solutions for our problems. Specifically:

  • You have a master’s degree in mathematics, computer science, engineering or similar relevant degree by proven experience and at least 5-10 years of experience in AI.
  • AI is your trade. You have many years of proven industrial experience in proposing and developing neural network architectures for real world applications. You have a deep understanding of the architectures and their merits and issues, beyond simple use of neural nets.
  • You are able to propose and develop training routines and merit functions, understand requirements on generating the appropriate large training datasets, and you have a critical mindset to analyze results and iterate forward.
  • You are proficient with Python, Keras, Tensorflow, and preferably also with Pytorch, VertexAI and GCP. Git and continuous integration and unit tests are the tools you use daily.
  • Experience with embedded implementations on hardware and edge compute is a strong plus.
  • Experience with computer vision and/or spectroscopy is a plus.
  • You are a leader who can efficiently interact with your peers within CTO office, engineering and marketing teams.
  • You are fluent in English, and have good presentation skills.

You will help us be successful when:

  • You are a good team player, able to pursue and find compromise through constructive discussion, enthusiasm and skills.
  • You are result-driven, you have a natural desire to analyze and solve problems and you are self-critical.