Applied Scientist, Catalog System Services Science

• Key job responsibilities
• Formulate novel research problems at the intersection of GenAI, multimodal learning, and large-scale information retrieval. In essence, translating ambiguous business challenges into tractable scientific frameworks
• Design and implement leading models leveraging frontier models, and agentic architectures to enrich catalog information at billion-product scale
• Pioneer explainable AI methodologies that balance model performance with scalability requirements for production systems impacting millions of daily customer decisions
• Own end-to-end ML pipelines from research ideation to production deployment, processing petabytes of multimodal data with rigorous evaluation frameworks
• Represent the team in the broader science community - publishing findings, delivering tech talks, and staying at the forefront of GenAI, VLM, and agentic system research
• 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
• 2+ years of building machine learning models or developing algorithms for business application experience
• Prior experience in the domains of LLMs, or large-scale deep learning systems
• Publications in top-tier venues such as NeurIPS, ICML, ICLR, CVPR, ICCV, EMNLP, ACL, NAACL, COLING, KDD, SIGMOD, WWW, AAAI, or similar
• Experience with multimodal LLMs, including hands-on post training techniques
• Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
• USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually

None flagged.