We build computer vision and AI systems to enhance productivity and safety for customers in the manufacturing, logistics, public safety, and agriculture industries.
Founded by people with successful previous exit.
Flexible remote working options.
Opportunities to learn, grow, and make an impact on a growing video analytics platform.
Our engineering approach is pragmatic and iterative. As a small company, our engineers are encouraged to identify problems and design solutions wherever they present themselves. Given our size, everyone has to be a generalist. All code changes are managed using GitHub pull requests with code reviews, but there is very little hierarchy or bureaucratic process. As an engineer, you will be working directly with the CTO to build and maintain our rapidly growing video analytics platform.
We are gearing up to scale a video analytics platform from 10 video feeds to several hundred. There are ample opportunities to tackle interesting challenges in every aspect of the platform, from front-end interface development to cloud infrastructure to computer vision algorithm development. If you're looking to learn about every aspect of building a successful product, this is the place for you.
Develop and maintain a web-based dashboard that allows customers to monitor real-time video feeds and the analytics operating on them .
Build a health-monitoring and alerting system to ensure we are alerted to any downtime.
Support computer vision and machine learning algorithm development for automatic defect detection analytics.
We value extremely resourceful and versatile problem solvers with a bias towards action; people who are willing to learn on the fly and who are generally good at just getting things done while avoiding premature optimization.
We are loosely clustered in the greater Los Angeles area, but we all work remotely, and so can you.
We shoot for a 40 hour work week on average, but when that happens is very flexible.
Interested in this company?
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