Machine Learning Platform Engineer

Shanghai, Full time

About Us:

Caper builds smart shopping carts powered by deep learning and computer vision to enable a seamless grab-and-go retail experience. We differ from other emerging cashierless technologies like Amazon Go because we are the scalable solution. Caper’s autonomous checkout technology is plug and play, meaning it requires no in-store renovation, no operational overhaul, no heavy computations or endless image labeling. Any retailer can buy the carts and their entire store is upgraded with cashierless capabilities. Caper costs less than 1% of Amazon Go's infrastructure. We are already live in-stores and our customers love us! 

Caper is the fastest-growing company in retail automation technology and is backed by Lux Capital, First Round Capital, Y Combinator along with top executives from Google, Walmart, Instacart, Plated, and Albertsons with over $13M in funding to date. While e-commerce accounts for 8% of total retail spending, Caper is innovating the other 92% of the untapped offline retail potential. 

As a part of the Caper team, you’ll be a part of a culture that cares about its people and the future we’re shaping together. At Caper, we may all come from different backgrounds, but we all share one common vision - to fundamentally disrupt the retail industry. We are looking for engineers to join our talented technical team. 

Come join our team if...


You MUST have:

  • At least 3 years working experience and 1 year of experience in building Machine Learning Platform.
  • Familiarity with open source ML platform frameworks like Kubeflow, MLFlow, TFX etc. 
  • Advanced proficiency in one of the following programming languages: Python, C++
  • Deep understanding in one of the two ML / DL framework: Tensorflow, Pytorch
  • Familiarity with distributed computing including Spark, Hive, MinIO
  • Familiarity with distributed training techniques such as horovod, tensorflow distributed etc.
  • Proficiency in common backend devops tools like k8s, docker, docker compose
  • Familiarity with modeling, optimization, data, and feature engineering. 
  • Can build a solution from scratch end-to-end


You may have:

  • MA/BA degree in Computer Science, Electrical Engineering or equivalent practical experience


You are ready to:

  • Build and maintain the machine learning platform 
  • Constantly support the data science team to build better machine learning tools and infrastructures. 
  • Conquer the World!
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