Engineering Manager, Machine Learning, Perception

September 20

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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

• Lead, mentor, and inspire a team of 6-8 AI engineers and scientists, fostering a collaborative, focused, and high-performing environment. • Actively coach and grow individual contributors, providing constructive feedback, managing performance, and supporting their technical improvement and career development. • Foster a culture of technical excellence, continuous learning, and shared responsibility. • Take an active and hands-on role in roadmap planning, technical decision-making, and providing expert guidance for the development of AI/ADAS-like features. • Drive the design, development, and deployment of robust AI models for critical functions like lane keeping, collision warning, and trajectory prediction. • Oversee the entire product lifecycle from research to in-field deployment, ensuring features meet quality, performance, and reliability standards in production. • Stay at the forefront of AI, machine learning, computer vision, and ADAS technologies, integrating relevant advancements into our product strategy. • Develop, enforce, and continuously improve engineering processes and best practices across the team to enhance efficiency and quality. • Effectively communicate with cross-functional stakeholders (Product, Hardware, etc.), influencing product strategy, technical architecture decisions, and process-related choices.

🎯 Requirements

• Masters degree in Computer Science, Electrical Engineering, Robotics, or a related quantitative field. Ph.D. is a plus. • 5+ years of hands-on experience in Computer Vision and/or Machine Learning, with a deep understanding of training and deploying Machine/Deep Learning models. • 2+ years of recent engineering management experience leading an AI/ML focused team of 6+ engineers. • Proven track record of successfully launching and operating Computer Vision or Machine Learning applications at scale. • A deep understanding of the process and challenges involved in building and maintaining large-scale ML products, especially those requiring high reliability and performance in the field. • Exceptional leadership skills with a demonstrated ability to recruit, hire, coach, and grow engineering talent. • Excellent written and verbal communication skills, with the ability to articulate complex technical concepts to diverse audiences. • Experience in ADAS (Advanced Driver-Assistance Systems) or Autonomous Driving is a strong plus. • Experience with sensor fusion (e.g., camera, radar, lidar data) (bonus). • Experience with cloud platforms (AWS, Azure, GCP) for MLOps and model deployment (bonus). • Familiarity with real-time embedded systems or automotive-grade software development (bonus). • Applicant must be authorized to receive and access commodities and technologies controlled under U.S. Export Administration Regulations.