Computer Vision Engineer

hace 7 días

Buenos Aires, Buenos Aires C.F., Argentina ShipHero A tiempo completo

Hello. We are ShipHero ). We have built a software platform entrusted by hundreds of ecommerce companies, large and small to run their operations and we continue to grow. About US$5 billion of ecommerce orders are shipped a year via ShipHero. Our customers sell on Shopify, Amazon, Etsy, Ebay, WooCommerce, BigCommerce and many other platforms. We're driven to help our customers grow their businesses by providing a platform that solves complex problems, and is engineered to be reliable and fast. We are obsessed with building great technology that is beautiful, easy to use and is loved by our customers. Our culture also reflects our ethos and belief that by bringing passionate, talented and great people together - you can do great things.

For this role we require you to be in the office in Coghlan, Buenos Aires, at least four days a week. We communicate regularly using video chat and Slack, and put a strong emphasis on asynchronous work so people have large chunks of uninterrupted time to focus and do deep work. Making sure you and the rest of the company are able to focus while being at work is really important to us. You can read our internal guide on how we communicate from our website:

We are looking for a Computer Vision Engineer for a hands-on role in our Buenos Aires lab. You will be working on designing, prototyping and testing computer vision projects to improve Shiphero products and services.

What Will You Do

  • Work on new computer vision pipelines on edge devices in real time.
  • Train and fine tune different models to be used in our warehouses.
  • Recollect and work on new datasets for training and testing different pipelines.
  • Redefine Shiphero's product Human/Device interfaces using classical and machine learning computer vision techniques.

Requisites

  • Have a Computer Science, Engineering or Informatics degree or equivalent job experience with at least three years of professional practice with Python programming.
  • Being familiar with Deep Learning platforms and frameworks like Pytorch, Tensorflow or similar.
  • Have experience customizing or fine tuning models for specific applications and deploying them into the real world.
  • Be familiar with one or more of the following models working in real time: YOLO, RT DETR, nanosam, or similar.
  • Have a basic understanding of classical computer vision fundamentals.
  • Have experience working with cameras in real time.
  • Familiar with Linux operative systems.

It Would Be Also Beneficial If You

  • Have Experience with C++ and CUDA.
  • Have worked with embedded devices like NVIDIA Jetson devices.
  • You are interested on robotics with some professional or hobbyist experience

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