
Innovation NLP Researcher
2 days ago
Develop state-of-the-art LLM architectures and implement cutting-edge NLP techniques to drive business growth and innovation in the healthcare and oncology text domain.
- Design and develop proof-of-concepts from rapid iterations to rigorous experimental evaluations on clinical-text tasks, utilizing novel LLM architectures, adapter modules, and prompt-tuning strategies.
Key responsibilities include:
- Collaborating closely with production teams to hand off scalable prototypes that demonstrate clear performance gains.
Requirements:
- Bachelor's or Master's degree in Computer Science, Computational Linguistics, AI/ML, or a related field.
- 2–3 years of professional R&D experience in NLP or ML research roles.
- Strong Python skills and deep familiarity with PyTorch or TensorFlow.
- Proficiency in working with NLP frameworks, deep learning libraries, and common data preprocessing techniques.
- Expertise in prompt engineering, few-shot learning, and fine-tuning for domain-specific tasks.
Benefits:
- Opportunity to work on innovative projects and contribute to groundbreaking research in the NLP domain.
What You'll Work On:
- Model innovation & prototyping: rapidly prototype novel LLM architectures, adapter modules, and prompt-tuning strategies for tasks such as clinical note summarization, entity extraction, and question answering.
- Experimental design & analysis: define evaluation protocols, run ablation studies, and analyze results to quantify improvements in accuracy, robustness, and domain generalization.
- Proof-of-concept development: build end-to-end POCs demonstrating how research breakthroughs translate into tangible gains on real healthcare datasets.
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