Computer Vision Engineer

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February 7

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Motive

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Transport • Artificial Intelligence • Enterprise

Motive is a company that provides an integrated operations platform designed to enhance the safety, productivity, and profitability of fleet management and operations. Utilizing cutting-edge AI technology, Motive offers solutions such as driver safety monitoring, fleet management, equipment monitoring, and spend management. These services provide unparalleled visibility into vehicles and equipment, automate workflows, reduce costs, and improve efficiency for industries like construction, oil & gas, public sector, food & beverage, and logistics. Motive is recognized as a leader in fleet management and empowers companies to maximize their operational potential with innovative solutions.

1001 - 5000 employees

🚗 Transport

🤖 Artificial Intelligence

🏢 Enterprise

📋 Description

• Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. • As a Computer Vision Engineer, you will be a part of a passionate team whose mission is to bring intelligence to the world’s trucks. • You will play a critical role in building and improving a technology that will be used by millions of trucks. • Improve the performance of our models and algorithms already in production. • Build and optimize CV/ML algorithms for real-time performance. • Write proficient Python and C++ code to build and improve CV algorithms. • Convert state-of-the-art research prototypes into reliably working product features. • Collaborate with RnD team working in Computer Vision, Machine Learning, and Robotics. • Solve challenging object detection, segmentation, recognition, and geometric computer vision problems. • Build automated deployment, validation, and active learning pipelines.

🎯 Requirements

• Bachelors degree in computer science, software engineering, data science, artificial intelligence, or related field. • Masters or PhD in Computer Vision, Deep Learning, and Machine Learning (preferred) • Solid mathematical foundation in Computer Vision, Deep Learning, Machine Learning, and optimization approaches. • Hands-on experience in training framework and tools (TensorFlow | Pytorch | Caffe) • Strong experience in Python or C++ • Hands-on experience in building embedded algorithms and applications • Experience in the following tools and technologies is a plus: AWS (SageMaker, Lambda, EC2, S3, RDS), CI/CD, Terraform, Docker, and Kubernetes. • Prior experience with Eigen library and RTOS is a strong plus.