AI Research Engineer - NLP
Core
Designing, developing, and evaluating advanced AI safety assessment systems for large language models (LLMs) and natural language processing (NLP) to mitigate digital safety risks.
Role type
AI Research Engineer (NLP/LLM Safety)
Builds
Rigorous evaluation methodologies, scalable assessment capabilities, and research-driven insights for frontier AI systems.
Domain
Digital Safety, Artificial Intelligence, Natural Language Processing
Deliverable
production ML models | research
Required skills
NLP safety assessment, LLM safety analysis, literature review in NLP/LLM, open-source code review, text analytics coding, model training, technical documentation, academic publishing, root cause hypothesis generation, software engineering collaboration
Preferred skills
Independent problem solving, research and development planning, community relationship building
Technologies
LLMs, NLP algorithms, Digital Safety lab tools
Responsibilities
Study incident reports implicating LLMs or NLP algorithms and hypothesize root causes; Conduct literature and open-source reviews in NLP or LLM designs; Code or train text analytics needed to run NLP or LLM assessments; Publish assessment research results in peer-reviewed conferences and journals; Work closely with team members to ensure processes are accurate and technically sound
Seniority
Senior, hands-on IC