ML Scientist
Tasks
- Build foundation models for clinical synthesis
- Collaborate with engineering team to ship products
- Design machine learning techniques
- Develop agentic methods for long context NLP
- Implement information extraction models
- Model over multiple documents and modalities
- Stay up to date with NLP and generative AI research
- Summarize clinical records
- Support distributed training workflows
- Train and run inference for large language models
Perks/Benefits
Skills/Tech-stack
Agentic AI | Context modeling | Deep learning | Distributed Training | Information Extraction | JAX | Language Models | Language Processing | Large Language Models | Long Context | Long Context Modeling | Machine Learning | Multimodal reasoning | Natural Language | Natural Language Processing | PyTorch | Text Summarization
Education
Regions
Countries
States
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