Research Engineer , Quick Science
Core
Lead research and development efforts in generative AI and Agentic AI to enable intelligent agents that perform complex reasoning and automate multi-step workflows for enterprise users.
Role type
Senior IC research engineer (agentic AI systems)
Builds
Scalable science experiment frameworks, low-latency testing pipelines, and data collection/annotation/evaluation web applications
Domain
Enterprise generative AI and Agentic AI
Deliverable
production ML models
Required skills
software development, system design and architecture, mentoring, machine learning fundamentals, transformer architecture, ML frameworks (JAX, PyTorch, vLLM, SGLang, Dynamo, TorchXLA, TensorRT), agentic architectures, task orchestration
Preferred skills
full software development life cycle, complex software systems delivery, agentic architectures, autonomous systems
Technologies
JAX, PyTorch, vLLM, SGLang, Dynamo, TorchXLA, TensorRT (via careerplan.io/jobs/10568153-research-engineer-quick-science-at-amazon)
Responsibilities
Define, design, and lead development of tools to accelerate science experimentation; guide science team implementation for proof of concepts; build scalable experiment frameworks and testing pipelines; bridge gaps between science and engineering teams to merge pipelines
Seniority
Senior, hands-on IC