Position Summary 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.
Position Summary 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.
- Exposure to new Deep Learning techniques for image recognition
- MS/PhD degree or equivalent practical experience in Computer Science, AI, Machine Learning, or related technical field
- Knowledge and experience in application of Deep Learning to Computer Vision problems
- Real-world experience building Computer Vision systems
- Impact : You will own significant responsibility and have total ownership over your work. We stay lean and efficient, so your work directly impacts the product we ship every day.
- Simplicity : Complexity is a waste of time here—we take pride in building things that just work.
- Hard Work : Forget the glamorous research papers. We prioritize the hard work it takes to achieve real-world clarity and accuracy. You will innovate relentlessly to push the boundaries of what’s possible in visual automation.
- Humility : No task is beneath you. Whether it's high-level architecture or grunt work to fix a bug, we check our egos at the door and get real work done.
- Ruthless Prioritization : If everything is on fire, nothing is. You will be expected to prioritize ruthlessly, cutting through distractions to focus on the most impactful product improvements.
- Customer Innovation : We are customer-centric, not customer-pleasing. You won’t bend to every client demand; you will let innovation drive the product forward to solve the real problems our users face.
- Efficiency : Meetings suck. We keep them short and only use them for alignment, giving you your time back to focus on real work.
- 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