Applied AI Engineer – Multimodal AI

Kodiak Robotics, a pioneering force in autonomous vehicle technology, is seeking an Applied AI Engineer specializing in Multimodal AI. This role sits at the intersection of artificial intelligence and autonomous trucking, where you'll work on developing cutting-edge AI models that integrate multiple sensor inputs for safer and more efficient autonomous vehicles. The position offers an opportunity to work with state-of-the-art technology in a company that's actively deploying autonomous trucks across the Sun Belt states and collaborating with the U.S. Department of Defense.

The role involves developing sophisticated multimodal AI models that combine data from cameras, LiDAR, and radar sensors, creating robust spatio-temporal architectures for enhanced decision-making in real-world scenarios. You'll be working with large-scale datasets and implementing advanced learning techniques to improve the system's adaptability and performance.

Located in Mountain View, CA, Kodiak offers a comprehensive benefits package including competitive salary, equity, and extensive healthcare coverage. The company culture emphasizes work-life balance with flexible PTO and various office perks. This is an ideal opportunity for someone passionate about advancing autonomous vehicle technology and working on real-world AI applications that have the potential to revolutionize transportation.

The position requires a strong technical background in AI and computer science, with hands-on experience in multimodal AI development. You'll be joining a team that's focused on pushing the boundaries of autonomous technology while maintaining a practical approach to deployment and scalability. If you're excited about building AI systems that understand the world holistically and want to be part of shaping the future of autonomous transportation, this role offers the perfect blend of challenge and opportunity.