Sr. NLP Engineer Japanese , Alexa Japan

Amazon is seeking a senior natural language processing engineer to own the Japanese language experience for Alexa. This hybrid product and language technology role combines product strategy ownership with hands-on language engineering expertise to build and localize GenAI technology for the Japan market. As the single-threaded owner of the Japanese language capability bar you will define the vision roadmap and success metrics while providing direct technical and linguistic support to global teams across ASR TTS NLU and conversational AI. This high-visibility role impacts millions of Japanese customers and establishes Amazons AI voice leadership in Japan.

You will shape the future of Japanese AI voice technology at the intersection of product strategy and cutting-edge language technology. The ideal candidate is equally comfortable writing a product vision narrative for senior leadership as designing test sets to measure Japanese pitch accent accuracy diagnosing error patterns or automating evaluation pipelines. You can conduct deep dive analysis on language performance and bring compelling data to motivate change. You will work across Applied Science Engineering QA UX and business stakeholders in a fast-paced ambiguous environment structuring problems into actionable frameworks that drive measurable outcomes.

Key job responsibilities
Product Strategy & Ownership
Define and own the product vision strategy roadmap and success metrics for Japanese language capabilities in Alexa including competitive benchmarking
Drive product discussions and executive communication in both Japanese and English; bridge Japanese market needs and global technical capabilities ensuring cultural and linguistic complexities are addressed in product development
Influence cross-functional roadmaps and engineering priorities through data-driven contributions; make smart trade-offs across initiatives balancing short-term delivery against long-term strategic goals
Own end-to-end launch execution and post-launch quality monitoring defining showstoppers and ensuring issues are triaged and resolved in priority order

Language Technology & Data Expertise
Design evaluation test sets define quality metrics and establish regression testing and benchmarking methodologies for Japanese language performance across key user journeys in partnership with QA and science teams
Produce process and analyze language data to diagnose quality issues and inform product and modeling decisions; automate evaluation and data workflows using Python and/or internal NLP tooling
Partner with Applied Scientists on training data requirements and the customer impact of architectural and data decisions for Japanese; provide Japanese language engineering support to global teams including data collection design annotation guideline authoring quality auditing and model evaluation
Identify and proactively communicate pitfalls unique to Japanese language and speech technology (e.g. homograph and homophone disambiguation pitch accent assignment argument and topic omission appropriate keigo use in response generation) and develop mitigation strategies


A day in the life
Your morning kicks off designing an evaluation taxonomy for Japanese entertainment use cases with Applied Scientists. You map real utterance patterns against failure modes the model struggles with and ensure statistical coverage that catches real problems not just easy ones. Next you dig into a model benchmarking exercise with the QA team comparing candidate models across performance metrics including Japanese-specific signals like pitch accent. By late afternoon youre writing a technical explainer for a US engineering team walking them through how Japanese orthographic complexity and compounding homophone ambiguity create failure modes theyll never see in English.

- 5 years of experience in product management for language or speech technology products or in language engineering with demonstrated product ownership in AI/ML voice technology or NLP
- Native Japanese speaker with deep understanding of linguistic nuances honorific systems and cultural context; professional-level English proficiency
- Strong understanding of LLMs speech technologies (e.g. ASR TTS NLU) and their key performance drivers
- Demonstrated ability to work with language data: design evaluation sets analyze error patterns and automate data workflows using Python or equivalent scripting language
- Proven experience working with science and engineering teams on complex technical products with strong written and verbal communication skills for executive audiences

- Advanced degree (Masters or PhD) in Computational Linguistics NLP Language Technology Linguistics or Computer Science
- Hands-on experience with speech technology evaluation or building language artifacts (e.g. pronunciation lexicons text normalization rules evaluation scripts)
- Experience with Japanese language technology specifically including Japanese phonology orthographic complexity and sociolinguistic variation
- Experience with synthetic/model-based data generation LLM-as-a-judge evaluation or human-in-the-loop annotation workflows

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