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Senior Applied Scientist, Alexa International

Job in Bellevue, King County, Washington, 98009, USA
Listing for: Amazon
Full Time position
Listed on 2026-05-30
Job specializations:
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Senior Applied Scientist – Alexa International Science

We are seeking a passionate, talented, and inventive senior applied scientist to build industry‑leading technology with Large Language Models (LLMs) and multimodal systems. You will drive cross‑team scientific strategy, influence partner teams, and deliver solutions that have broad impact across Alexa’s international products and services.

Job Responsibilities
  • Develop novel algorithms and modeling techniques to advance the state of the art with LLMs, especially for multi‑lingual applications.
  • Leverage Amazon’s heterogeneous data sources and large‑scale computing resources to accelerate progress in text, speech, and vision domains.
  • Translate research findings into production‑ready systems that support Alexa+ products and services.
  • Collaborate closely with peers to iterate rapidly based on user feedback and align multiple teams around a shared scientific vision.
Basic Qualifications
  • Ph.D. or Master’s degree in a relevant field (CS, CE, ML, etc.).
  • 4+ years of applied research experience.
  • Experience leading the design, build, and deployment of complex and performant software solutions in production.
  • Deep expertise in state‑of‑the‑art LLM architectures, training, evaluation, and post‑training techniques (e.g., SFT, DPO, RLHF, RLAIF).
Preferred Qualifications
  • Experience building speech recognition, machine translation, and natural language processing systems.
  • Patents or publications at top‑tier peer‑reviewed conferences or journals.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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Position Requirements
10+ Years work experience
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