42dot
Technology
ML/AIEngineer-VehicleIntelligence
Neural analysis suggests this role is
optimal for Mid+ candidates.
“ML/AI Engineer - Vehicle Intelligence at 42dot. Skills: Machine learning, AI, Reinforcement learning, Vehicle intelligence. Develop AI-powered features. Apply reinforcement learning”
Industry & Context.
Root cause analysis; Troubleshooting
What They're Looking For.
Must Have
Bachelor's, Master's, or Ph. D, 3+ years experience, Experience with ML frameworks, Experience building models
Nice to Have
Experience applying RL, Familiarity with vehicle systems, Experience with multimodal AI, Knowledge of deploying ML models, Experience collaborating cross-functionally
What You'll Do.
Develop AI-powered features
Apply reinforcement learning
Create personalization models
Collaborate with teams
How You'll Work.
Team & Collaboration
Cross-functional teams; Autonomous driving teams; VLA teams
Full Job Description
WE ARE LOOKING FOR THE BEST ABOUT US 42dot is a mobility AI company committed to solving mobility challenges with software and AI. As the Global Software Center of Hyundai Motor Group, 42dot pioneers the future of mobility by advancing the development of software-defined vehicles. We develop safety-first, user-centric software-defined vehicle technologies that deliver the latest performance through continuous updates like smartphones. By advancing software and AI technology, 42dot envisions a world where everything is connected and moves autonomously through a self-managing urban transportation operating system. ABOUT THE ROLE We are building next-generation vehicle intelligence at 42dot, enabling vehicles to understand user intent, trip context, vehicle state, environmental conditions, and system constraints, then coordinate vehicle behavior to deliver personalized, proactive, transparent, and trustworthy experiences. As an ML / AI Engineer, you will design and develop AI-driven vehicle intelligence features that help users drive farther, feel more confident, reduce cognitive load, and experience vehicles that adapt to their needs. You will work across vehicle telemetry, user behavior, navigation, energy usage, thermal systems, cabin comfort, charging, simulation, and fleet data to build intelligent systems that can predict, recommend, plan, and optimize vehicle behavior. This role is focused on applying modern AI and machine learning technologies, including reinforcement learning, multimodal AI, foundation models, large language models, personalization, time-series forecasting, planning, simulation-based learning, and on-device inference. Reinforcement learning will be an important intelligence algorithm for developing adaptive vehicle behaviors, optimizing system-level decisions, and improving vehicle experiences through simulation, fleet feedback, and real-world operating data. You will also collaborate closely with autonomous driving and VLA engineers to conne
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