Our team develops models for road perception. We turn multi-sensor inputs (vision, maps, and more) into models that understand road geometry and behavior. We work at the intersection of algorithms, DL models, infrastructure, and data engineering.
Design, build, and optimize AI infrastructure for Ambient.ai's real-time intelligence platform, focusing on deep learning models and multimodal AI systems.
Develop and enhance deep learning models for driving decision-making, collaborating across teams to integrate and validate algorithms in Mobileye's driving systems.
Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production, collaborating closely with strategic customers to drive adoption and impact.
Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production, collaborating closely with customer teams to ensure successful adoption and impact.
Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production, partnering with customers to ensure successful adoption and impact.
