Applied Scientist II - Genai/llm, Translation Services

Amazon Amazon · Big Tech · Seattle, WA · Applied Science

Applied Scientist II role at Amazon focusing on designing and developing scalable machine learning solutions for language translation services using GenAI/LLMs. The role involves applying expertise in LLM models, conducting data analysis, and collaborating with cross-functional teams to improve translation accuracy and efficiency for millions of customers worldwide.

What you'd actually do

  1. Apply your expertise in LLM models to design, develop, and implement scalable machine learning solutions that address complex language translation-related challenges in the eCommerce space.
  2. Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to define project requirements, establish success metrics, and deliver high-quality solutions.
  3. Conduct thorough data analysis to gain insights, identify patterns, and drive actionable recommendations that enhance seller performance and customer experiences across various international marketplaces.
  4. Continuously explore and evaluate state-of-the-art modeling techniques and methodologies to improve the accuracy and efficiency of language translation-related systems.
  5. Communicate complex technical concepts effectively to both technical and non-technical stakeholders, providing clear explanations and guidance on proposed solutions and their potential impact.

Skills

Required

  • 3+ years of building models for business application experience
  • 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

Nice to have

  • Experience using Unix/Linux
  • Experience in professional software development
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals
  • Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

What the JD emphasized

  • minimal human touch involved in any language translation
  • accurate translated text is available
  • designing algorithmic solutions based on data and mathematics
  • leveraging Gen AI technoligies to build scalable solutions from scratch

Other signals

  • designing algorithmic solutions
  • leveraging Gen AI technoligies
  • build scalable solutions from scratch