Senior Software Engineer, Computer Vision and Deep Learning
Job Summary
Job Description
5 skills required
Job Details
About Mashgin
At Mashgin, we have developed a successful and innovative point-of-sale experience that uses computer vision and AI to make checkout nearly instantaneous. Our mission is to eliminate checkout lines so people can get back to their lives.
Our kiosks are currently serving customers in thousands of locations around the world, from major sports stadiums to convenience stores, from college campuses to corporate cafeterias. We are a series B startup with 10 years of progress, and we’re already profitable. And we’re just getting started.
We value autonomy of work, a relentless obsession with customer experience (both our customers and their end-customers), and a culture of respect and fun.
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.
You Will Be
- 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
Minimum Qualifications
- 5+ years relevant coding experience
- Masters degree in Computer Science or related field
- Strong background in Computer Vision
- Exposure to new Deep Learning techniques for image recognition
Mashgin is proud to be an equal opportunity employer. Individuals seeking employment at Mashgin are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.
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