The ad says“Experience with Python or C/C++ in a Linux environment”
The ad says“Strong background in Computer Vision”
The ad says“Knowledge and experience in application of Deep Learning to Computer Vision problems”
The ad says“Experience with Python or C/C++ in a Linux environment”
The ad says“Experience with Python or C/C++ in a Linux environment”
Mashgin is looking for a passionate Computer Vision engineer who loves solving everyday vision problems. Someone who is regularly saying to themselves “This could be done with computer vision!” and who loves experimenting with new algorithms
You’ll work on a small dynamic team to design and implement cutting edge Computer Vision algorithms that will be used everyday by our customers
Developing new computer vision algorithms with founders in C/C++ and Python for solving challenging real-world problems
Coming up with large scale data collection techniques for training Deep Neural Nets
Driving the development of new algorithms that dramatically improve our existing methods
Researching and maintaining state-of-the-art ML/CV algorithms that can analyze images
Coding full-stack building products from end to end
Benefits
Hybrid Remote Environment: 401k plan so you can plan for your future
Flexible PTO: Flexible PTO policy so you can take whatever time off you need
Catered Lunch: Besides cabinets stocked with snacks, coffee, and tea, lunch is catered
Hybrid Remote Environment: Spend your time working remotely and come to the office as needed
Competitive Equity: Competitive options in a small, rapidly scaling company
Health Benefits: Competitive healthcare, dental and vision options for employees and dependents
Preferred experience
Exposure to new Deep Learning techniques for image recognition
8+ years relevant coding experience
Strong background in Computer Vision
Masters degree in Computer Science or related field
MS/PhD degree or equivalent practical experience in Computer Science, AI, Machine Learning, or related technical field
Experience with Python or C/C++ in a Linux environment
Knowledge and experience in application of Deep Learning to Computer Vision problems
Real-world experience building Computer Vision systems