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 cashier-less capabilities. Caper costs less than 1% of Amazon Go's infrastructure, and it is already actively being used in the market.
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 and the opportunity offers plenty of room for rapid internal growth.
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 and the opportunity offers plenty of room for rapid internal growth.
We at Caper are backed by Y Combinator, and are focusing on compacting image recognition and sensor fusion into a smart shopping cart, allowing shoppers to throw their groceries into the cart and checkout without cashiers. The technology is going to fundamentally transform physical retail and the way people shop.
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 (PhDs and Top tier tech experience)! You’ll be directly working under the CTO and the opportunity offers plenty of opportunity for internal growth as we scale.
Message us at [email protected] if you have any questions or just want grab a coffee!
Caper (YC W16) | Machine Learning Engineer | $100k-$150k + equity + benefits | Fulltime | ONSITE in New York | CaperLab.com
Caper Labs (Y-Combinator W16, www.caperlab.com), focuses on compacting Amazon-Go's technology (image recognition, sensor fusion and AI) into a smart shopping cart, allowing each shopper to toss their groceries into our smart cart and self-checkout. Help us transform physical retail!
What we want:
- Lead Computer Vision and Deep Learning development, architecture design and implementation.
- Design and implement custom computer vision algorithms and architectures
- Collaborate with hardware team to better apply CV and DL technologies into embedded system.
About you:
- MS/PhD degree in Computer Science, Math, related technical field or equivalent practical experience.
- One year of CV and DL experience or equivalent and built at least one CV/DL system before.
- Familiar with CV and DL fundamentals like feature extraction, convolutional neural network, supervised machine learning, transfer learning etc.
- Familiar with one of the the DL frameworks and tools like Tensorflow, Keras, Caffe etc. + OpenCV.
- Understand GPU and CUDA.
- Share our vision!
Caper (YC W16) | Full Stack Engineer | $80k - $120k + equity + benefits | Fulltime | ONSITE in New York | CaperLab.com
Caper (Y-Combinator W16, www.caperlab.com), focuses on compacting Amazon-Go's technology (image recognition, sensor fusion and AI) into a smart shopping cart, allowing each shopper to toss their groceries into our smart cart and self-checkout. Help us transform physical retail!
What we want:
- A full stack engineer who is as passionate as we are about changing retail!
- Highly organized, Optimistic and persistent
- A full stack experience that spans Web development, Android, and MVC + micro-architecture familiarity
Caper (YC W16) | Head of Machine Learning | $100k - $150k + equity + benefits | Fulltime | ONSITE in New York | CaperLab.com
Caper Labs (Y-Combinator W16, www.caperlab.com), focuses on compacting Amazon-Go's technology (image recognition, sensor fusion and AI) into a smart shopping cart, allowing each shopper to toss their groceries into our smart cart and self-checkout. Help us transform physical retail!
What we want:
- Lead Computer Vision and Deep Learning development, architecture design and implementation.
- Design and implement custom computer vision algorithms and architectures.
- Collaborate with hardware team to better apply CV and DL technologies into embedded system.
About you:
- MS/PhD degree in Computer Science, Math, related technical field or equivalent practical experience.
- One year of CV and DL experience or equivalent and built at least one CV/DL system before.
- Familiar with CV and DL fundamentals like feature extraction, convolutional neural network, supervised machine learning, transfer learning etc.
- Familiar with one of the the DL frameworks and tools like Tensorflow, Keras, Caffe etc. + OpenCV.
- Understand GPU and CUDA.
- Share our vision!
Lets chat or grab a coffee! Drop us a line at [email protected] and we will take it from there.
QueueHop (YC W16) | Full Stack | Brooklyn, NY | Onsite | Full-time
Want to change the future of retail? QueueHop revolutionizes the traditional retail experience by bringing self-checkout to brick & mortar stores.
We are currently looking for talented Full-stack Developers, who must have strong knowledge of MVC framework, familiarity with RESTful architecture, and database systems. Any experience with e-commerce is advantageous. Must be experienced in Ruby on Rails or Django (other frameworks are acceptable). Well-versed in basic server engineering including scaling, caching, distributed system and etc. familiar with database system and SQL. Android experience is required.
We were in the YC W16 batch and are soon to be launching a new product, and are now looking to build a strong team of engineers to help bring our vision of mobile self checkout in retail stores to life!
More info: www.QueueHop.com For any more question, feel free to email me (see profile)
To apply: Email [email protected] with your resume (and a little blurb about yourself if you'd like).
QueueHop (YC W16) | San Mateo | Mobile App Developer, Backend, Full Stack | Onsite | Full-time
Want to change the future of retail? QueueHop revolutionizes the traditional retail experience by bringing self-checkout to brick & mortar stores. We transformed the traditional security tags into smart tags that unlock when a payment is made. We will create a seamless holiday shopping experience with no lines!
We are currently looking for talented Full-stack, Backend and Mobile App developers to join our team. Developers must have strong knowledge of MVC framework, familiarity with RESTful architecture, and database systems. Any experience with e-commerce is advantageous. And full stack engineers are highly encouraged to apply.
Backend Applicants must have experience in MVC and Ruby on Rails or Django (other frameworks are acceptable). Well-versed in basic server engineering including scaling, caching, distributed system and etc. familiar with database system and SQL. Mobile App applicants must have experience developing highly used, scalable, bulletproof apps with excellent UI/UX.
We have just recently completed the YC W16 batch and are now looking to build a strong team of engineers to help bring our vision of mobile self checkout in retail stores to life!
More info: www.QueueHop.com
For any more question, feel free to email me (see profile)
To apply: Email [email protected] with your resume (and a little blurb about yourself if you'd like).
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 cashier-less capabilities. Caper costs less than 1% of Amazon Go's infrastructure, and it is already actively being used in the market.
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 and the opportunity offers plenty of room for rapid internal growth.
View https://www.caper.ai/backend-engineer for more details, or message us at [email protected] if you have any questions or just want grab a coffee!