Applied Scientist
Core
Build state-of-the-art GenAI algorithms and models to infer product identities and relationships at Amazon's billion-product scale, powering search and browse experiences.
Role type
Senior Applied Scientist (GenAI & Multimodal)
Builds
Next-generation agentic shopping experiences and catalog understanding services
Domain
E-commerce, Generative AI, Multimodal Reasoning
Deliverable
production ML models
Required skills
PhD or Master's + 4 years in CS/ML, Java/C++/Python programming, building ML models/algorithms for business applications
Preferred skills
LLM/VLM/foundation model expertise, model serving optimization (distillation/quantization), explainable AI, statistical analysis, deploying ML at billion-scale, top-tier research publications
Technologies
Generative AI, Visual Language Models (VLMs), Large Language Models (LLMs), agentic architectures, model distillation, quantization, pruning
Responsibilities
Formulate open research problems at the intersection of GenAI and information retrieval; Push boundaries of VLMs and agentic architectures for product identity inference; Advance efficient model deployment strategies (distillation, compression); Make frontier models reliable via uncertainty calibration and interpretability; Own full research lifecycle from problem formulation to production deployment; Shape team research vision and technical roadmaps; Mentor scientists and engineers on advanced ML techniques
Seniority
Senior, hands-on IC with research leadership