GenAI/LLM Applied Scientist — Production-Scale Translation

GCS Recruitment Specialists

Seattle (WA)

On-site

USD 170,000 - 210,000

Full time

3 days ago
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Job summary

Amazon Translation Services (TS) is seeking an Applied Scientist to build and deploy GenAI/LLM solutions at scale in production. You will fine-tune models, optimize latency, and collaborate with software engineers, data scientists, product managers, and an MLOps team.

The role emphasizes production-grade ML with millions of content pieces daily across multiple languages, requiring strong Python skills and a hands-on approach in an early-stage team within TS.

Qualifications

  • 3+ years building machine learning models for real business applications.
  • Hands-on LLM experience that goes beyond prompt engineering: fine-tuning models, adjusting weights and parameters, and working directly with model internals.
  • Solid understanding of how foundation models work under the hood, and the judgment to pick the right model for the problem.
  • Experience building and deploying production-grade models at scale.
  • Strong programming in Python. Java or C++ backgrounds are also welcome.
  • PhD, or Master's degree plus 4+ years of experience in Computer Science, Computer Engineering, Machine Learning or a related field.
  • Comfort with ambiguity and autonomy on an early-stage team, where engineering judgment matters as much as model performance.

Responsibilities

  • Evaluate and select models for incoming text, image and video content across languages.
  • Fine-tune models across the full image localization workflow: OCR extraction, grouping text, translation, and rendering text back onto images.
  • Match model size to the problem and avoid over- or under-engineering.
  • Identify automation opportunities across the translation pipeline and collaborate with MLOps to automate repetitive tasks.
  • Design and ship production-grade ML solutions that handle millions of pieces of content daily with low latency.
  • Run data analyses to drive recommendations and communicate approaches clearly to technical and non-technical stakeholders.

Skills

Python
LLM experience
Model fine-tuning
Production deployment
Open source/closed models
Distributed systems

Education

PhD
Master's degree + 4+ years

Tools

Unix/Linux

Job description

Amazon Translation Services (TS) is seeking an Applied Scientist to build and deploy GenAI/LLM solutions at scale in production. You will fine-tune models, optimize latency, and collaborate with software engineers, data scientists, product managers, and an MLOps team.

The role emphasizes production-grade ML with millions of content pieces daily across multiple languages, requiring strong Python skills and a hands-on approach in an early-stage team within TS.

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