Research Manager – Multimodal AI
Hybrid · Pittsburgh, Pennsylvania, United States
Job Summary
Lead a high-impact industrial AI research team at Bosch RTC-NA, directing multimodal sensor foundation models, generative AI for signals, and collaboration with academia; responsible for defining the research roadmap, ensuring scientific excellence and product relevance, and partnering with product/engineering to deploy AI at scale. Foster IP generation and technology transfer while mentoring PhD-level researchers and senior engineers. This role requires a PhD and a minimum of 5+ years in AI research with 3+ years of leadership, plus a strong background in multimodal learning, sensor fusion, high-frequency signal modeling, and signal processing with deep learning. Strong publication track record and ability to influence across research, engineering, and business stakeholders are expected.
Required Qualifications
- 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
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