NLP Research Engineer
Core
Research and implement state-of-the-art NLP, GNNs, and Tabular data algorithms to automate the interpretation of clinical language and decode medical records.
Role type
NLP Research Engineer (Research IC)
Builds
Nym's core product engine for analyzing and decoding medical records
Domain
Healthcare / Clinical NLP / Deep Learning
Deliverable
production ML models
Required skills
NLP research, Graph Neural Networks (GNNs), Tabular data analysis, Large Language Model (LLM) fine-tuning, Prompt engineering, Instruction tuning, Parameter-efficient methods (LoRA), LLM-based agentic systems, Tool use, Multi-step planning, Agent evaluation, Error analysis, Python, Hugging Face Transformers, LangChain
Preferred skills
MSc in Computer Science / Statistics, Knowledge of state-of-the-art NLP algorithms
Technologies
Python, Hugging Face Transformers, LangChain, LLM frameworks
Responsibilities
Research complex problems related to state-of-the-art NLP, GNNs, and Tabular data; Implement algorithms and train models to solve core product challenges; Integrate work into existing product and demonstrate value
Seniority
Mid-Senior, hands-on IC
