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Applied Scientist, CreativeX

Amazon· Amazon Advertising
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Hybrid (New York, NY), Hybrid (Seattle, WA)$172.4k - $223.4kFull-timePosted yesterday

About the role

Applied Scientist role focused on developing Machine Learning and Generative AI methods to augment generative imagery and videos for CreativeX within Amazon Advertising. Collaborates with engineers and product managers to build advertiser-facing features, publish research, and contribute to IP submissions.

Responsibilities

  • Drive the invention and development of novel methods for the use of Generative AI in ads
  • Work closely and integrate end-to-end proof-of-concept Machine Learning projects with ambiguity, scale and complexity
  • Build interface-oriented systems that use Machine Learning models, perform proof-of-concept, experiment, optimize, and deploy models into production; collaborate with software engineers to productionize ML models
  • Run A/B experiments, gather data, and perform statistical analysis
  • Establish scalable, efficient, automated processes for large-scale data analysis, ML model development, model validation and serving
  • Mentor and help recruit Applied Scientists to the team
  • Present results and explain methods to senior leadership
  • Willingness to publish research at internal and external venues; pursue IP submissions
  • Develop ML and GenAI models for augmenting generative imagery and videos; perform literature reviews; collaborate with product managers to productize work

Qualifications

  • PhD, or a Master’s degree and experience in CS, CE, ML or related field
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals
  • Experience programming in Java, C++, Python or related language
  • Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
  • Experience in building machine learning models for business applications
  • Experience with experimental design
  • Experience with Python, Java, C++
  • Experience with researching, publishing and/or developing human-in-the-loop systems

Skills

Required:Generative AI methods (latent-diffusion, LLMs, generative audio, CV)Machine learning model developmentA/B testing and statistical analysis

Benefits

  • Health insurance (medical, dental, vision, prescription)
  • Basic Life & AD&D insurance; optional additional life plans
  • EAP, Mental Health Support
  • Flexible Spending Accounts
  • Adoption and Surrogacy Reimbursement coverage
  • 401(k) matching
  • Paid time off
  • Parental leave
Last updated Oct 25, 2026. Interested? Apply on the company site.

About Amazon

Amazon.com, Inc. or its affiliates

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