AI Scientist - Biomedical Multimodal Modeling
South San Francisco, California, United States
USD 170K-240K Entry-level Full Time
Tasks
- Build scalable data processing training and evaluation systems
- Develop models that infer missing aspects from partial observations
- Develop multimodal foundation models
- Perform cross modal alignment prediction and generation
- Train large scale models on structured high dimensional datasets
- Unify representation learning and generative modeling
Perks/Benefits
Skills/Tech-stack
Autoregressive models | CI/CD | Contrastive Learning | Cross-Modal Learning | Deep learning | Diffusion Models | Generative Modeling | Image Processing | JAX | Large Scale Training | Large-scale | Machine Learning | Masked Modeling | Multimodal Learning | PyTorch | Python | Representation Learning | Self-Supervised Learning | Self-supervised | Supervised Learning | VAEs | Variational Autoencoders
Education
Roles
AI | AI Scientist | Scientist
Regions
Countries
States
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