AI Research Scientist- Multimodal Foundational Models
Tasks
- Architect design and validate multi modal deep learning and time series foundation models
- Develop AI projects for multi sensor data labeling prediction classification clustering description and fusion
- Integrate and extend time series models with auxiliary modalities from videos and images
- Provide technology insights for strategic planning and investment decisions
- Publish research findings and file patent submissions
Perks/Benefits
Skills/Tech-stack
Agentic AI | Data Generation | Data-Centric AI | Data-centric | Deep learning | Git | High Performance | High-Performance Computing | LSF | MLflow | Multi-Modal | Multi-modal Deep Learning | Multivariate Time Series | Performance Computing | PyCharm | PyTorch | PyTorch Lightning | Python | Signal Processing | Slurm | Synthetic Data Generation | Synthetic data | Time Series | TorchAudio | TorchMetrics | Torchvision | VS Code
Education
Roles
Regions
Countries
States
Cities
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