Machine Learning Expert

== Eligible profiles must have ==

PhD in Computer Science with a focus on Computer Vision or Deep Learning applications
1+ years of experience working in a post-doc research or industry environment

== In this role you will ==

Evaluate, analyze, and optimize system resources related to image processing and computer vision.
Apply advanced machine learning techniques to deliver best-in-class vision capabilities for our machine vision applications.

==An ideal candidate has==

Expert level understanding and practical experience with applying computer vision algorithms to solve product use cases.
Strong programming/coding skills in at least one general-purpose language.
Experience with computer vision libraries such as OpenCV.
Be proficient in Python or C/C++

Accustomed with popular deep learning frameworks such as Tensorflow, Pytorch or Keras.

==An ideal candidate will==

R&D experience in Machine Learning, Computer Vision and Deep Learning.
Have an advanced understanding of machine learning techniques, especially as they relate to vision-oriented problems.
Enjoy reading the latest academic papers in computer vision and machine learning.
Understand and have implemented computer vision algorithms in the industrial environment.
Have strong communication skills and a desire to collaborate across engineering teams.
Be excited about the possibility of leveraging cameras and applying vision-related techniques to improve the industrial environment.

== More about us ==

We have an open-minded, relaxed but professional corporate culture and we take a no-nonsense approach.
Our solutions combine hardware and software to bring real-time visibility, decision making, and AI to operations across the wood industry. 
You will join a team of experimented researchers that are building the Neural Grader, TallyExpress platform, Logsize app, and other AI applications for the wood industry.
The projects are challenging and you will do scientific research to create world-class computer vision algorithms in collaboration with leading scientists. 

== Benefits ==

+ Regular activities with the team, team building
+ Casual & friendly working environment with opportunities to impact the company with your ideas and involvement
+ Flexible working hours
+ Technology diversity
+ Bonuses and attractive salary package
+ Private medical assurance
+ Bookster membership
+ Relaxation room (Table tennis, darts, etc)
+ Fresh fruits & snacks in the office
+ Gym membership discount (World Class Fitness)
+ Working in an international/multi-cultural team
+ Company supports exams and certifications for professional growth
+ Smart people all around and real technical challenges
+ The nearest metro station to our offices is Victoriei - 2 min walk
+ Extra perks (Between 21 and 25 vacation days, days off for special or unexpected events)