NLP Research Scientist

Years of Experience 3-6 years of applied NLP research experience (industry or academic).

Experience in a localization or multilingual NLP context is a strong plus.

 Design and execute research investigations across NLP topics:

automatic post-editing (APE), automated LQA, terminology extraction

and discovery, and LLM-based quality metrics.

 Evaluate large language models (GPT-4o, Claude, open-source models)

for localization tasks- measuring quality, cost, and latency trade-offs.

 Produce clear research conclusions delivered as User Stories (We have

decided. We

 define) that engineering teams can act on directly.

 Present research findings at sprint review sessions, communicating

results and

recommendations to both technical and non-technical stakeholders.

 Collaborate with engineers to validate that implemented solutions

match research findings; support post-deployment analysis.

 Investigate cost-efficiency improvements: prompt optimization, token

reduction strategies, non-LLM alternatives where appropriate.

 Stay current with NLP and LLM literature and evaluate applicability to

Lionbridge &

localization use cases.