Research Manager – Multimodal AI

We are looking for a research manager (group leader) to lead a high-impact industrial AI research team working at the intersection of cutting-edge machine learning and signal processing to build multimodal sensing AI solutions (foundation models/GenAI for multimodal signals such as radar, ultrasonic, IMU, audio, vibration, RF signals among others) and enable cross-domain business applications ranging from automotive, consumer products to manufacturing and healthcare. The key responsibilities for this position are:Technical & Research LeadershipWork together with lab director/leadership team to define and execute the research vision and roadmap for multimodal sensor foundation models, generative AI for temporal and spatial signals, and advanced signal processing–ML hybridsEnsure research outcomes meet both scientific excellence and product relevanceLead R&D portfolio involving machine learning on heterogeneous sensors (e.g., radar, audio, RF, IMU, vision, industrial sensors), including representation learning, self-supervised learning, and multimodal fusion to improve sensing and perception capabilities in a wide range of applications from automated vehicles, intelligent consumer products to manufacturing & industrial automation  Advance generative and probabilistic models for signals, including simulation, synthesis, forecasting, anomaly detection, and inverse problemsMaintain a team culture of scientific/technical excellence as evidenced by high impact IPs and/or publications in top AI conferences and journals (e.g., NeurIPS, ICLR, ICML, CVPR, ICASSP)Collaborate with academic partners (e.g., CMU) and represent the group in the broader research communityProductization & CommercializationFoster entrepreneurial research, establish rigorous SW engineering practices towards translating research into production-ready artifactsLive by ROI mindset: mapping R&D targets to product roadmap and potential market opportunitiesPartner closely with product, engineering, and business teams to deploy AI at scaleBalance long-term research with near- and mid-term business impactSupport technology transfer, IP generation, and patent strategyPeople & Team LeadershipLead, mentor, and grow a team of PhD-level researchers and senior engineersManage budget/resources and secure team competency demands from internal stakeholdersFoster a culture of scientific rigor, collaboration, inclusion, and execution excellenceRecruit top research and engineering talent globallyProvide technical and career mentorship to team members