AI Research Scientist- Multimodal Foundational Models
Tasks
- Architect design and validate multimodal deep learning time series foundation models
- Develop and lead multimodal AI research
- Integrate time series models with video and image modalities
- Label predict classify cluster describe and fuse multi sensor data
- Provide expert technology insights for strategy
- Publish research findings and submit patents
Perks/Benefits
- 401k matching
- Disability insurance
- Financial planning support
- Health insurance
- Life insurance
- Paid time off
- Parental leave
Skills/Tech-stack
Agentic AI | Computer Vision | Data Generation | Data-Centric AI | Data-centric | Deep learning | Git | LSF | Language Processing | MLflow | Multimodal Learning | Natural Language | Natural Language Processing | PyTorch | PyTorch Lightning | Python | Series modeling | Signal Processing | Slurm | Synthetic Data Generation | Synthetic data | Time Series | Time Series Modeling | TorchAudio | TorchMetrics | Torchvision
Education
Roles
Regions
Countries
States
Cities
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