Computer Vision Scientist

At Kargo, our mission is to build a connective tissue between the physical world of freight and the digital ecosystem used to manage it. We believe that advancements in smart infrastructure are critical to enabling a safer and more efficient future for logistics.  Our loading dock sensor platform verifies all incoming and outgoing freight, aggregating data that enables shippers and carriers to efficiently manage dock operations, switch out suppliers and understand material flow in real time. We care deeply about delivering the best solutions for our customers. As a member of the Kargo team, you will have the opportunity to develop and deploy tomorrow’s hardware & software solutions and help revolutionize logistics. As a Computer Vision Scientist, you will be challenged to solve real world problems with cutting edge CV technology that drives Kargo’s core business. You will be taking the latest advancements in computer vision research in areas like detection, tracking, segmentation, OCR, and SLAM, and experimenting with them and directing the team to implement the right solution. Responsibilities Research CV solutions for image processing, text recognition, image classification/detection, costs and optimization of running models. Implement end to end solutions to extract useful information from our sensors using CV. Work with engineering teams, and give directions to deploy these solutions into production.  Keep up to date with literature in the field and suggest implementation strategies for new methods. Experience 5+ years experience as a Research Scientist in the area of Computer Vision. Experience in Python, C++, PyTorch, Tensorflow. Familiarity with latest deep learning CV models and progresses. Experience as a self-directed research scientist who excels at driving new research ideas from concept and experimentation to production. Research experience and publications in CV, a plus. PhD or MS in Computer Science, Computer Vision or a related technical field. Kargo is an equal opportunity/affirmative action employer committed to an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.