Applied Scientist: GenAI & Multimodal Catalog Systems

Amazon; San Francisco (CA); On-site; USD 180,000 - 250,000; Full time

Job summary

Amazon’s Applied Scientist role in the ASCS group seeks bold researchers to advance GenAI, multimodal learning, and billion‑product catalog understanding. You will translate business challenges into rigorous ML problems and push state‑of‑the‑art models from concept to production.

Candidates typically hold PhD or a Master’s with 4+ years experience in CS/ML, are proficient in Java/C++/Python, and enjoy mentoring others, publishing findings, and shaping product‑level solutions at scale in a

Qualifications

• PhD or Master’s degree with 4+ years in CS/CE/ML or related field.
• Experience programming in Java, C++, Python or related language.

Responsibilities

• Formulate novel research problems at GenAI, multimodal learning, and large-scale information retrieval.
• Design and implement models using VLMs and foundation models for catalog understanding at billion‑product scale.
• Pioneer explainable AI methodologies balancing performance with production requirements.
• Own end-to-end ML pipelines from research ideation to production deployment.
• Define research roadmaps aligned with business priorities and product improvements.
• Mentor scientists and engineers on ML techniques, experimental design, and rigor.
• Represent the team in the science community with talks and publications.

Skills

Java

C++

Python

Education

PhD

Master's degree

Job description

Amazon’s Applied Scientist role in the ASCS group seeks bold researchers to advance GenAI, multimodal learning, and billion‑product catalog understanding. You will translate business challenges into rigorous ML problems and push state‑of‑the‑art models from concept to production.

Candidates typically hold PhD or a Master’s with 4+ years experience in CS/ML, are proficient in Java/C++/Python, and enjoy mentoring others, publishing findings, and shaping product‑level solutions at scale in a