Computer Vision Engineer

Our Mission

Disrupt the world of authentication and bring trust to interactions between individuals and businesses while enhancing the user experience when it comes to authentication or recurrent ID verification.

Our values

• Hard work: We believe that the best way to achieve our goals is to work hard enough to exceed them.
• Team work: They say two brains are better than one, imagine what a team of brains can do.
• Ambition: Our day-to-day is full of big challenges and we enjoy it
• Integrity: Honesty, trust and openness help us earn our colleagues and client’s trust
• We don’t fail, we learn!

Job Description

Your responsibilities

• Consulting with R&D team to determine and refine objectives.
• Study and Design of state of the art computer vision algorithms and deep learning models (AI).
• Optimizing, testing and validating the developed approaches.
• Documenting the processes.

Perks

You will spend the best time of your life helping build the MFA 3.0! But if it really matters:

• Competitive salary package
• Remote policy from 2 days per week to full remote
• 5 to 10 days off in addition to the 25 legal days
• Alan health care insurance
• 50% of public transportation cost
• An inclusive and equal environment (8 nationalities on a team of 11)
• Visa sponsorship for international talents

Preferred Experience

We are looking for a Computer Vision Engineer to strengthen our tech team. How? By designing and optimizing state of the art computer vision algorithms.

• Masters or PhD in a relevant field (PhD-level candidates preferred)
• If Masters only, must have at least 2 years of industry experience
• Experience with Python for prototyping algorithms
• Experience with some code versioning tools like SVN and Git
• Experience with convolution networks and deep learning
• Experience with GPU compute and frameworks like Tensorflow or PyTorchBonus :
• Experience with OpenCV and C/C++ for algorithm implementation
• Proven research experience with journal/conference publications

Recruitment Process

• 30 min video call with the cofounder and CTO to validate the match
• 30 min call or meeting with the rest of the team as we need to make sure that as much as we want to work with you, you want to work with us