- Undergraduate or graduate degree in computer science or similar technical field, with significant coursework in mathematics or statistics
- 1-2 years machine learning experience, either in industry or from personal projects
- Successfully trained and deployed a deep learning machine model, with measurably improved performance over baseline, either in industry or as a personal project
- Strong experience with high-level machine learning frameworks such as DLib, YOLO/Darknet, Tensorflow, Caffe, or Torch, and familiarity with the others
- You know the ins and outs of C++ and Python, especially as it applies to the above ML frameworks
- You are up-to-date on the latest deep neural net research and architectures, both in understanding the theory and motivations behind the techniques, as well as how to implement them in the ML framework of your choice
- You have great communication skills and ability to work with others
- You are a strong team player, with a do-whatever-it-takes attitude
Top Skills
What We Do
Kogniz leverages AI and computer vision to deliver the leading technology platform for improving workplace safety and security. The Kogniz platform can be implemented in days and integrates with a company’s existing infrastructure. Companies rely on Kogniz to provide safer, smarter spaces for occupational hazards, workplace violence, evacuation management, vehicle detection, and anomaly detection. Kogniz has received funding from Ulu Ventures, Superset, and The Entrepreneur’s Fund, among others. The company is headquartered in the San Francisco Bay Area, California with a development team in Montreal, Quebec. Learn more at www.kogniz.com.
Kogniz was founded in 2016 and its award-winning technology has been featured in The Wall Street Journal, The Washington Post, NBC and Fox. The company is headquartered in the San Francisco Bay Area, California with a development team in Montreal, Quebec.
