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This listing was closed on Jul 17, 2026.
Browse Open JobsSr NLU Research Engineer
Summary by AIEngineer.careers
Sr NLU Research Engineer is a AI Research Engineer role (full-time). with Cerence AI. in 広域東京エリア, JP. Imported listing (source: jp.linkedin.com). Apply on the employer's site (jp.linkedin.com).
Imported listing (source: jp.linkedin.com) · Apply on jp.linkedin.com
広域東京エリア · JP
—
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from jp.linkedin.com
Cerence AI seeks a Senior NLU Research Engineer to develop next-generation natural language understanding and AI systems for automotive and mobility markets. The role involves working with LLMs, data annotation, and statistical model development for Japanese products. Join a global team driving in-car AI innovation.
Responsibilities
- Deep analysis of customer requirements for NLU features and define interfaces with front-end (ASR) and back-end (content provider, Agents, LLM). Module level solution design and implementation. Acquire and accumulate data to train NLU models. Innovate new AI tools or use existing technologies to develop NLU solutions. Collaborate with development and QA teams on deliverables and schedules.
Requirements
- Master's degree or above in Computer Science, Computational Linguistics, or related AI field. Experience with Natural Language Understanding (NLU) technology. Working knowledge of Large Language Models (LLMs) and Agents. Strong programming and scripting proficiency, particularly in Python. Native or close-to-native Japanese speaker with fluent English for global communication.
Nice to Have
- Familiarity with Automatic Speech Recognition (ASR). Proficiency in additional human languages.
Cerence AI
Burlington · US · 889+ employees
Cerence AI is a global leader in conversational AI, specializing in voice- and AI-powered user experiences for the automotive and transportation industries. The company develops integrated, personalized, and safe interaction solutions for vehicles and digital ecosystems.
