ML Scientist
Tasks
- Build summarization models
- Collaborate with engineering team to ship products
- Design machine learning techniques
- Develop information extraction models
- Develop multimodal reasoning models
- Model long context across multiple documents
- Perform distributed training
- Propose agentic NLP methods
- Run inference for clinical information extraction
- Stay current with NLP generative AI research
- Train foundation models
Perks/Benefits
Skills/Tech-stack
Agentic AI | Deep learning | Distributed Training | Foundation Models | Information Extraction | JAX | Language Models | Language Processing | Large Language Models | Machine Learning | Multimodal Learning | Natural Language | Natural Language Processing | PyTorch | Text Summarization
Education
Regions
Countries
States
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