GenAI/LLM Scientist for Global Translation

Amazon Science; Seattle (WA); On-site; USD 143,000 - 193,000; Full time

Benefits offered by this job

RSUs

Sign-on bonus

Health insurance

401(k) matching

Job summary

Amazon Science in Seattle is seeking an Applied Scientist to design scalable machine learning solutions for translation across many locales. You will work with cross-functional teams to translate billions of words with minimal human intervention, leveraging large-scale data and state-of-the-art modeling techniques.

The role emphasizes collaboration, data-driven decision making, and delivering high-quality translation systems for Amazon's international customers.

Qualifications

• 3+ years of building models for business applications.
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
• Experience programming in Java, C++, Python or related language.

Responsibilities

• Apply expertise in ML/LLMs to design scalable translation-related solutions in eCommerce.
• Collaborate with software engineers, data scientists, and product managers to define requirements and metrics.
• Conduct data analysis to identify patterns and drive actionable recommendations across marketplaces.
• Continuously explore state-of-the-art modeling techniques to improve system accuracy and efficiency.
• Communicate complex technical concepts to both technical and non-technical stakeholders.

Skills

Model development

Java

C++

Python

Education

PhD

Master's +4 years CS/CE/ML

Tools

Unix/Linux

Job description

Amazon Science in Seattle is seeking an Applied Scientist to design scalable machine learning solutions for translation across many locales. You will work with cross-functional teams to translate billions of words with minimal human intervention, leveraging large-scale data and state-of-the-art modeling techniques.

The role emphasizes collaboration, data-driven decision making, and delivering high-quality translation systems for Amazon's international customers.