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 100,000 customers – from Fortune 500 enterprises to small businesses – across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.
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We are looking for a Senior Applied Scientist to help develop and deploy cutting-edge machine learning and deep learning models that power Motive’s safety and fleet management solutions. You will work on LLMs, forecasting, and multimodal deep learning models, driving innovation in areas like collision detection, driver safety scoring, spend management, and fleet optimization. This role sits at the intersection of science and engineering, requiring you to push the boundaries of AI while ensuring models are robust, scalable, and production-ready.
As a key contributor to our Applied Science team, you’ll work with massive datasets (petabyte-scale), including geospatial, telematics, and sensor data, to build models that enhance decision-making across thousands of fleets. You’ll collaborate with engineers, product managers, and domain experts to develop novel ML algorithms, optimize inference performance, and deploy models in real-world applications that impact millions of drivers and businesses.
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