AI Research Scientist- Multimodal Foundational Models
Core
Develop and lead research on multi-modal deep learning and Timeseries Foundation Models (TSFM) to fuse sensor data (acoustic, telemetry, vibration, radar, lidar, image, Wi-Fi, ultrasound) for advanced driver assistance systems (ADAS) and other Bosch products.
Role type
Senior IC AI Research Scientist (Multimodal Foundational Models)
Builds
Scalable, intelligent AIoT solutions and multi-modal foundation models for automated driving and industrial AI.
Domain
Automotive / Industrial AI / Time-series Analysis / Sensor Fusion
Deliverable
production ML models
Required skills
Time Series Foundation Models (beyond forecasting), signal processing for sensor data, deep learning integration, Python, PyTorch (torchaudio, torchvision, torchmetrics), PyTorch Lightning, academic publication record, patent submissions
Preferred skills
data-centric AI, synthetic data generation, agentic AI, version control (Git), experiment tracking (MLFlow), high-performance computing (Slurm, LSF), leading small research teams
Technologies
PyTorch, torchaudio, torchvision, torchmetrics, PyTorch Lightning, MLFlow, Slurm, LSF, Git, VSCode, PyCharm
Responsibilities
Architect and validate multi-modal deep learning and TSFM, integrate timeseries models with auxiliary modalities (video, images), offer expert insights for strategic planning and R&D trajectory, document and disseminate research findings via publications and patents
Seniority
Senior, hands-on IC with mentorship responsibilities
