Natural Language Processing Enginee...

About the Role

As a Natural Language Processing / AI Research Engineer at Moleculyst, you will work on research involving large language models, hallucination detection, model reliability, scientific reasoning, and automated AI research systems. This role goes beyond conventional NLP tasks such as text classification or basic information extraction.

Key Responsibilities

• Developing methods for detecting hallucinations and unreliable outputs from large language models.
• Analyzing transformer representations, hidden states, attention patterns, residual streams, and other internal model signals.
• Investigating whether models internally distinguish known information from uncertain or fabricated information.
• Designing controlled experiments and benchmark datasets for evaluating hallucination detection methods.
• Studying representation geometry, model confidence, uncertainty, and other signals related to factual reliability.
• Implementing and evaluating ideas from current research papers in NLP, language models, interpretability, and AI reasoning.
• Building automated research pipelines for literature analysis, hypothesis generation, experimentation, evaluation, and iterative improvement.
• Developing memory systems for research agents, including semantic, procedural, and experimental memory.
• Creating systems for storing research results, experimental observations, failed approaches, and reusable procedures.
• Building tools for experiment orchestration, automated evaluation, result comparison, and research reproducibility.