AI Research Scientist - Multimodal Foundational Models

About the role

The Bosch Research and Technology Center in North America is seeking an AI Research Scientist to lead cutting‑edge projects on multimodal foundational models. You will work on AI solutions that fuse diverse sensor data to advance driver assistance systems and other Bosch products.

Key responsibilities

• Develop and lead AI research projects that label, predict, classify, cluster, describe and fuse multi‑sensor data such as acoustic, telemetry, vibration, radar, lidar, image, Wi‑Fi and ultrasound signals.
• Architect, design and validate multimodal deep‑learning and Timeseries Foundation Models (TSFM) for multivariate time‑series signals.
• Integrate timeseries models with auxiliary modalities like video and images to improve contextual understanding.
• Provide expert insights to management for strategic planning, R&D direction and investment decisions.
• Collaborate with academic and industry partners and disseminate findings at top AI conferences and journals.

Required profile

• Strong research background in artificial intelligence and multimodal deep learning.
• Experience designing and deploying foundation models for time‑series and sensor fusion.
• Ability to translate research outcomes into scalable AIoT solutions.

Required skills

• Multimodal deep learning
• Time‑series analysis
• Computer vision
• Natural language processing
• Data science
• Explainable AI (XAI)
• AI system engineering

What we offer

• Opportunity to work on industry‑leading AI research within a global technology leader.
• Collaboration with award‑winning teams and leading academic institutions.
• Access to state‑of‑the‑art facilities and resources for AI development.