Senior AI Research Scientist- Time-Series Foundational Models
Core
Develop and lead research on multi-modal deep learning and Time-Series Foundation Models (TSFM) to label, predict, classify, and fuse multi-sensor data for Advanced Driver Assistance Systems (ADAS) and other Bosch products.
Role type
Senior AI Research Scientist (Time-Series Foundational Models)
Builds
Scalable, intelligent AIoT solutions for automated driving, ADAS, and industrial AI applications.
Domain
Automotive AI, Time-Series Analysis, Multi-modal Deep Learning
Deliverable
production ML models
Required skills
Time Series Foundation Models (TSFM), signal processing for sensor data, deep learning integration, Python, PyTorch (torchaudio, torchvision, torchmetrics), PyTorch Lightning, academic publication record
Preferred skills
Industrial research experience, data-centric AI, synthetic data generation, agentic AI, Git, MLFlow, high-performance computing (Slurm, LSF), team leadership
Technologies
PyTorch, torchaudio, torchvision, torchmetrics, PyTorch Lightning, MLFlow, Slurm, LSF, Git, VSCode, PyCharm
Responsibilities
Architect and validate multi-modal deep learning models, integrate auxiliary modalities (video, image) to enhance context understanding, offer expert insights for strategic planning and R&D trajectory, document and disseminate research findings via publications or patents
Seniority
Senior, hands-on IC with strategic input
