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[Remote] Applied Scientist, Sponsored Products

Worldwide Salaried Open

Note: The job is a remote job and is open to candidates in USA. Amazon is at the forefront of re-imagining the advertising landscape through generative AI technologies with its Sponsored Products and Brands team. The Applied Scientist role involves driving end-to-end machine learning projects, building and deploying models, and conducting data analysis to enhance advertising experiences and customer engagement.

Responsibilities

  • Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity
  • Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales, without compromising the shopper experience
  • Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models
  • Run A/B experiments, gather data, and perform statistical analysis
  • Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving
  • Research new and innovative machine learning approaches

Skills

  • 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
  • Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
  • Experience in professional software development
  • Experience in search advertising, search marketing, performance advertising, or similar digital advertising
  • Strong technical fluency in Generative AI
  • Deep understanding of large language models (LLMs), model fine tuning and prompt engineering
  • Ph.D. in computer science, mathematics, statistics, machine learning or equivalent quantitative field

Benefits

  • Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
  • 401(k) matching
  • Paid time off
  • Parental leave

Company Overview

  • Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence. It was founded in 1994, and is headquartered in Seattle, Washington, USA, with a workforce of 10001+ employees. Its website is https://amazon.com.
  • Company H1B Sponsorship

  • Amazon has a track record of offering H1B sponsorships, with 3262 in 2026, 22803 in 2025, 21175 in 2024, 19057 in 2023, 24088 in 2022, 12233 in 2021, 14881 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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