Caper Website | Deep Learning & Computer Vision Engineer


About Us: 

Caper builds intelligent shopping carts - powered by deep learning and computer vision - to detect and identify items (with cameras mounted in the cart) as they are added to the basket. Caper costs less than 1% of Amazon Go's infrastructure, and it is a plug-and-play integration for stores. Caper is the fastest growing retail automation technology company, with already launched pilots and a rapidly expanding customer base. E-commerce is only 8% of total retail, and Caper is innovating the other 92% of the untapped potential. 

Caper is currently backed by First Round Capital, Y Combinator, and top executives from Instacart, Plated, Albertsons and Walmart.  

We’re a team of incredibly motivated individuals looking to put a dent in the retail industry. We are looking for a founding employee who will add to our talented technical team. You’ll be directly working under the CTO.

Personality Preferences:  - Open-minded and eager to learn  - Highly organized  - Extreme ownership of projects & assignments 

- Hard working 

Technical Requirements:  - MS/PhD degree in Computer Science, Math, related technical field or equivalent practical experience

- Familiarity with CV and DL fundamentals like feature extraction, CNN, supervised machine learning, transfer learning and distributed deep learning

- Familiarity with one of the the DL frameworks and tools like Tensorflow, Keras, Caffe etc. + OpenCV
- Familiarity with GPUs + CUDA
- Familiarity with compression / optimization of neural networks

Key responsibilities: 

- Design and implement custom computer vision algorithms and architectures
- Collaborate with hardware team to better apply CV and DL technologies into embedded system

Salary / Equity: Depends on Experience

Location: NYC -- Greenpoint, Brooklyn