Applied Scientist, Sales AI

Amazon Amazon · Big Tech · Sunnyvale, CA · Machine Learning Science

This role focuses on building and refining Machine Learning and Generative AI models for the Ad Sales business, aiming to optimize workflows, provide insights, and drive efficiency for account teams. It involves conceptualizing research, guiding technical approaches, conducting data analysis, running A/B experiments, and working with engineers to deliver end-to-end solutions into production.

What you'd actually do

  1. Conceptualize and lead state-of-the-art research on new Machine Learning and Generative Artificial Intelligence solutions to optimize all aspects of the Ad Sales business
  2. Guide the technical approach for the design and implementation of successful models and algorithms in support of expert cross-functional teams delivering on demanding projects
  3. Conduct deep data analysis to derive insights to the business, and identify gaps and new opportunities
  4. Run regular A/B experiments, gather data, and perform statistical analysis
  5. Work closely with software engineers to deliver end-to-end solutions into production
  6. Improve the scalability, efficiency and automation of large-scale data analytics, model training, deployment and serving

Skills

Required

  • building models for business application
  • PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
  • patents or publications at top-tier peer-reviewed conferences or journals
  • programming in Java, C++, Python or related language
  • algorithms and data structures
  • parsing
  • numerical optimization
  • data mining
  • parallel and distributed computing
  • high-performance computing

Nice to have

  • Unix/Linux
  • professional software development

What the JD emphasized

  • building models for business application
  • patents or publications at top-tier peer-reviewed conferences or journals
  • Machine Learning
  • Generative Artificial Intelligence
  • models and algorithms
  • data analysis
  • A/B experiments
  • statistical analysis
  • software engineers
  • end-to-end solutions
  • production
  • model training
  • deployment
  • serving

Other signals

  • Generative AI
  • quantitative modeling
  • forecasting
  • recommender systems
  • reinforcement learning
  • causal inferencing
  • production models
  • A/B experiments
  • statistical analysis
  • large-scale data analytics
  • model training
  • deployment
  • serving