Motive
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.
Applied Scientist II
Job not on LinkedIn
September 22
Motive
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.
📋 Description
• Develop, train, and optimize deep learning models for safety, compliance, and fleet operations, including LLMs, transformer models, and multimodal AI. • Design and implement ML pipelines for large-scale data processing, including feature engineering, model training, and real-time inference. • Work with vision, telematics and sensor data (dashcam, GPS, IMU, accelerometers) to improve event detection models (e.g., collision detection, risky driving behavior). • Fine-tune and distill large models (LLMs, Vision Transformers, etc.) to optimize latency and deployment efficiency on edge devices and cloud infrastructure. • Collaborate with engineering teams to deploy models into production, ensuring robustness, interpretability, and real-time performance. • Conduct A/B testing and causal inference studies to evaluate the impact of AI-driven decisions. • Stay up to date with the latest research in deep learning, generative AI, and optimization methods, bringing innovations into production.
🎯 Requirements
• Bachelor’s or Master’s degree in a quantitative field (CS, AI, Math, Statistics, or related). • 4+ years of experience in deep learning, machine learning, or applied AI. • Proficiency in Python (TensorFlow, PyTorch, NumPy, Pandas). • Strong experience in SQL and handling large-scale datasets. • Knowledge of transformer models, LLMs, and multimodal AI. • Experience with ML model deployment on cloud platforms (AWS, GCP, Azure). • Understanding of probability, statistics, and optimization techniques. • Ability to translate business problems into scientific solutions and communicate technical findings to stakeholders. • Applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations.
🏖️ Benefits
• Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.
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