- Job Type: Full-Time
- Function: Engineering Software
- Industry: Supply Chain and Logistics
- Post Date: 11/27/2023
- Website: overview.ai
- Company Address: 736 Clementina St, San Francisco, CA, 94103
About Overview
Overview provides deep learning vision systems and a quality workflow platform. We help manufacturers save time and money with automated inspection and streamlined quality control.Job Description
$85K - $190K
About the role
At Overview, we want to put the full power of state-of-the-art deep learning directly into customers hands. We give customers realtime views into their factory health, quality trends, shift performance, etc. We also integrate with their automation systems to execute real improvements on the factory floor. This includes telling systems to actuate compressed air to blow bad parts off the line or notifying a quality manager of catastrophic failure.
We are looking for someone who can build delightful user experiences around democratizing deep learning for anyone. This role will involve working directly with the deep learning team as well as customers to add critical features. This involves working on no-code deep learning interfaces as well as innovative visualizations.
Responsibilities
- Directly implementing high priority features
- Working on real time technologies like MQTT and Web sockets to update in real time
- Visualizing complex manufacturing metadata
- Working on creating drag-and-drop deep learning pipeline builder
- Optimizing code to increase website performance
Helpful Experience
- Having worked with React and Typescript
- Worked with real time technologies including MQTT, Web Sockets, RTMP
- Displayed lots of image and video data
- Had to optimize slow pages
- Having built extremely reliable frontends
About Overview
Overview is a company that takes the cutting edge in computer vision and deep learning and applies it to previously unsolvable manufacturing inspection problems. We are truly a full stack company. We install physical cameras into the facility, run inference on the edge and manage massive deployments. Overview also streams gigabytes of video/image data to the cloud for our web platform to give customers advanced insights and analytics.
We are looking for engineers who like to solve tough challenges across the stack. This might include wrangling 500mb images or deploying optimized models in one click that can handle 10 parts a second. We are looking for people who are dynamic, who are excited to work on a different challenge every week, whether it's the final inspection on a medical device or making sure a razor blade has a perfect edge.