Software Engineer - Machine Learning - Perception

February 28

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Motive

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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.

Electronic Logging Devices • Fleet Management • Vehicle GPS Tracking • Driver Vehicle Inspection Reports • IFTA Reporting

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. • For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. • Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks. • Motive serves more than 120,000 customers across a wide range of industries. • As a Software Engineer - Vision, you will design and implement complex computer vision systems. • You will have opportunity to build algorithms for edge processing, implement cloud services. • Collaborate with cross-functional teams to ensure the development of robust and sustainable AI systems. • Solve challenging object detection, segmentation, recognition, and geometric computer vision problems.

🎯 Requirements

• Bachelor’s Degree in Computer Science, Electrical Engineering, or related field. A Master’s degree is a strong plus. • 4 years of industry experience or academic research experience in the area of Computer Vision, Deep Learning, and Machine Learning. • 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++ • Experience in the following tools and technologies is a plus. AWS (SageMaker, Lambda, EC2, S3, RDS), CI/CD, Terraform, Docker, and Kubernetes.