Research Scientist – Multi-modal Sensing AI
Core
Develop and lead research projects on multi-sensor data fusion and multi-modal deep-learning models to enhance sensing capabilities in autonomous driving, predictive maintenance, and smart home devices.
Role type
Senior IC research scientist (multi-modal sensing AI)
Builds
Production-ready multi-modal deep-learning models and research artifacts for transfer to Bosch business units
Domain
Automotive, Manufacturing, IoT, Signal Processing, Deep Learning
Deliverable
production ML models
Required skills
Multi-sensor data fusion, Deep learning model design and training, Signal processing, Python, PyTorch (torchaudio, torchvision, torchmetrics), PyTorch Lightning, Academic publication record, Strategic technology planning
Preferred skills
Industrial research experience, Git, MLFlow, HPC/Slurm, Project leadership and mentoring
Technologies
PyTorch, PyTorch Lightning, MLFlow, Slurm, LSF, VSCode, PyCharm
Responsibilities
Develop and lead research projects on multi-sensor data fusion; Design, build, train, and evaluate multi-modal deep-learning models; Offer expert insights to management for strategic planning and R&D trajectory; Document and disseminate research findings through publications and patents.
Seniority
Senior, hands-on IC with strategic input
