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About the role

Applied Scientist, Model Customization, Generative AI Innovation Center, Model Customization at Amazon Web Services, Inc.

Required Skills

pythongenerative aimachine learninglarge language modelsoptimizationdistributed computingdata miningalgorithms

About the Role

The Applied Scientist role focuses on designing and implementing generative AI solutions for AWS customers. You will collaborate with teams to develop custom models, optimize performance, and guide customers through adoption and production deployment.

Key Responsibilities

  • Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions for real-world challenges
  • Interact with customers directly to understand business problems and guide them on implementation and adoption patterns
  • Help customers optimize solutions through model selection, training, tuning, distillation, and hardware optimization
  • Provide customer and market feedback to product and engineering teams to influence product direction

Required Skills & Qualifications

Must Have:

  • 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 in patents or publications at top-tier peer-reviewed conferences or journals
  • Experience programming in Java, C++, Python or related language

Nice to Have:

  • Experience using Unix/Linux
  • Experience in professional software development
  • PhD in operations research, applied mathematics, theoretical computer science, or equivalent quantitative field
  • 5+ years of building machine learning models or developing algorithms for business application experience
  • 2+ years demonstrated experience with Large Language Model (LLM) and Foundational Model post-training, fine-tuning, or reinforcement learning techniques

Benefits & Perks

  • Medical, financial, and/or other benefits
  • Equity, sign-on payments, and other forms of compensation may be provided
  • Inclusive culture with workplace accommodations for disabilities