Deep Learning / CV Engineer

Deep Learning / CV Engineer

Location: NYC -- Greenpoint, Brooklyn
Region: North America
Job Type: Full Time
Job category: Software Engineer
Company Name: Caper
Application URL:


Caper builds smart shopping carts – powered by deep learning and computer vision – to enable a seamless grab-and-go retail experience. Caper differentiates from technologies like Amazon Go by creating a plug-and-play solution that does not require store renovation, operational overhaul, heavy compute and endless image labeling & training; retailers can just buy the carts, and the entire store is upgraded with cashierless capabilities. Caper costs less than 1% of Amazon Go’s infrastructure, and it is already actively being used in the market. 


Caper is the fastest growing retail automation technology company and is backed by First Round Capital, Y Combinator, and top executives from Instacart, Plated, Albertsons and Walmart. E-commerce only accounts for 8% of total retail transaction volume, and Caper is innovating the other 92% of the untapped offline retail potential. 

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 and the opportunity offers plenty of room for rapid internal growth.

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

  • Minimum of 2 years of Deep Learning and Computer Vision 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

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