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