Applied Scientist, CreativeX
Amazon
This job at a glance
- Who can apply
- New grads, no experience needed · Master's degree
- Must know
- LLMsComputer visionMachine learningStatisticsData analysisRecruiting
- Nice to have
- Linux
- Work
- On-site in Seattle
- Pay
- Not stated by the employer.
- Skill demand
- Statistics36%Machine learning17%LLMs10%Computer vision4%of 100 similar entry-level jobs posted in the US this week
- Listed
- Nov 10, 2026 · still open
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About the Role
Amazon Advertising is a rapidly growing business that provides native advertising solutions to help merchants, retail vendors, and brand owners succeed. The Creative X team aims to democratize access to high-quality creatives by building AI-driven solutions for advertisers, leveraging Generative AI methods such as latent-diffusion models, large language models (LLM), generative audio, computer vision (CV), and reinforced learning (RL).
Key Responsibilities
- Drive the invention and development of novel methods for the use of Generative AI in ads.
- Integrate end-to-end proof-of-concept Machine Learning projects with high ambiguity, scale, and complexity.
- Build interface-oriented systems that utilize Machine Learning models, perform proof-of-concept, experiment, optimize, and deploy models into production, collaborating with software engineers for productionization.
- Run A/B experiments, gather data, and perform statistical analysis.
- Establish scalable, efficient, and automated processes for large-scale data analysis, machine-learning model development, model validation, and serving.
- Mentor and assist in recruiting Applied Scientists.
- Present results and explain methods to senior leadership.
- Publish research at top scientific venues and pursue IP submissions.
- Develop Machine Learning and Generative AI methods to augment generative imagery and videos, creating new paradigms for user engagement with GenAI.
- Conduct literature reviews to stay current in the field.
- Engage with product managers to productize research.
Requirements & Tech Stack
- 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 languages.
- Experience in at least one of the following areas: 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 programming languages such as Python, Java, C++.
- Experience with researching, publishing, and/or developing human-in-the-loop systems.
- Experience using Unix/Linux (Preferred).
- Experience in professional software development (Preferred).