Senior Computer Vision and Machine Learning Engineer

Payman Samadi
Job Type
5+ years
Remote work policy
5 hours overlap
Visa sponsorship
Preferred timezone
Eastern and Central

Job Summary:

eino has an opening for a resourceful computer vision engineer with deep passion for building intelligent software modules for machine learning products. You will join eino’s product team to build a digital twin creator platform for connectivity solutions. Please include your previous experiences in building, shipping, and iterating on enterprise software products using cutting edge tools.

Responsibilities and Duties

  • Prototyping, building, testing, and delivering product quality computer vision modules
  • Prototyping, building, testing, and delivering product quality machine learning solutions
  • Working closely with technical leadership and product manager for fast development iterations on new features 
  • Building innovate automation tools for enterprise applications

Qualifications and Skills

  • M.S. or Ph.D. in Computer Science, Electrical Engineering or related
  • 5+ years of experience in building image processing and image recognition algorithms 
  • 3+ years of experience in building predictive models and optimization algorithms
  • 3+ years of industry experience developing product quality machine learning components
  • 3+ years of experience in backend Python programming
  • Deep expertise in our stack:
  • Python
  • OpenCV
  • Scikit-learn
  • Scikit-image
  • Tesseract
  • Rasterio
  • Neural Networks and Deep Learning 
  • PostgreSQL


  • Building innovative solutions for real-world problems 
  • Being part of a growing company with a strong foundation 
  • Educational support to grow personally, professionally, and technically 
  • Flexibility in working schedule

About eino: 

eino is an AI-powered connectivity planning platform that holistically designs and simulates solution architecture for public and private WiFi/Cellular networks. Our SaaS platform enables network providers, systems integrators, and enterprises to automatically and efficiently plan new networks or test and expand existing ones for growth and new use-cases with digital twins. 

How to apply

Send a covering letter and CV to