As a research scientist working on Learnable Planner, you will invent new AI technologies that support scalable planning solutions enabling our launch of fully driverless autonomous trucks. You'll design and execute a research agenda for deep-learning based motion planning for self-driving. You will also leverage and advance the state-of-the-art in robotics and machine learning to enable safe self-driving at scale.

As a Software Engineer - Vision, you will be part of a passionate team focused on bringing intelligence to the world’s trucks and building technology to understand driving behavior and identify risk factors to improve fleet safety. You will design and implement complex computer vision systems, improve algorithms for edge processing and integrate cloud services to deliver end-to-end product features, and solve challenging object detection, segmentation, recognition, and geometric computer vision problems.

The Senior Computer Vision Engineer will develop and deploy computer vision models that enhance our product offerings using Python and PyTorch to design and implement scalable, efficient code. They will collaborate with cross-functional teams to integrate computer vision solutions into existing systems and stay ahead of industry trends. They will also lead research and development projects.

Lead the development and deployment of state-of-the-art machine learning models. Design and implement scalable ML solutions, optimize deep learning architectures, and collaborate with cross-functional teams to integrate AI into production systems. Train and optimize deep learning and computer vision models for image and video processing tasks.

The Engineering Team at Fleetio is looking for an experienced AI Engineer to build AI enabled solutions and help share our AI strategy. In this role, you will work closely with our engineering and product leaders to build and drive our AI roadmap. You will advise executives on AI strategy, develop ML models, and partner with engineering teams to implement solutions.