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.

Responsibilities

Work 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 hybrids; Ensure research outcomes meet both scientific excellence and product relevance; Lead 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 problems; Maintain 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 community; Foster entrepreneurial research, establish rigorous SW engineering practices towards translating research into production-ready artifacts; Live by ROI mindset: mapping R&D targets to product roadmap and potential market opportunities; Partner closely with product, engineering, and business teams to deploy AI at scale; Balance long-term research with near- and mid-term business impact; Support technology transfer, IP generation, and patent strategy; Lead, mentor, and grow a team of PhD-level researchers and senior engineers; Manage budget/resources and secure team competency demands from internal stakeholders; Foster a culture of scientific rigor, collaboration, inclusion, and execution excellence; Recruit top research and engineering talent globally; Provide technical and career mentorship to team members

Requirements

PhD (or equivalent research experience) in Computer Science, Electrical Engineering, Applied Mathematics, Statistics specializing Machine Learning, Signal processing or a related field; 5+ years of experience in AI research and development, with demonstrated commercialization or product deployment of ML systems; 3+ years of prior team leadership or management experience, leading engineers and/or researchers in a corporate research environment; Strong background in machine learning for signals, such as: Multimodal learning and sensor fusion; High-frequency signal modeling and representation learning; Signal processing combined with deep learning; Self-supervised, foundation, or generative models; Proven track record of peer-reviewed publications in top ML and/or signal processing venues; Strong communication skills and the ability to influence across research, engineering, and business stakeholders

Nice to have

Experience building and deploying foundation models or large-scale representation learning systems for sensor data in automotive/industrial settings; Exposure to automotive, industrial, manufacturing, robotics, or consumer tech. sensing AI applications; Experience with real-time, embedded, or edge AI systems; Track record of patents or technology transfer in an industrial setting; Experience managing cross-site or cross-disciplinary teams