Drimva

Amazon

Research Engineer , Quick Science

$168K–$262K

Seattle, WA +2 · Full-time · Posted Oct 2, 2026

Location
Seattle, WA
New York, NY
San Francisco, CA
Experience
5+ years in each of the specified software development, programming, and system design/architecture areas; preferred 5+ years of full software development life cycle experience.
Education
Preferred: Bachelor's degree in computer science or equivalent.

About the job

Leads research engineering for an enterprise generative AI assistant, building tools and workflows that accelerate science experimentation and move AI solutions into production.

What you'll do

  • Define and lead development of tools for science experimentation and delivery.
  • Guide proof-of-concept implementation to inform science strategy, algorithms, workflows, and release candidates.
  • Build scalable experiment frameworks, testing pipelines, and data collection, annotation, and evaluation applications; bridge science and engineering pipelines.

What they ask for

  • 5+ years of non-internship professional software development experience.
  • 5+ years of programming experience with at least one software programming language.
  • 5+ years leading design or architecture of new and existing systems, including design patterns, reliability, and scaling.
  • Experience as a mentor, tech lead, or engineering team lead.

Nice to have

  • 5+ years of full software development life cycle experience.
  • Bachelor's degree in computer science or equivalent; experience delivering complex customer-facing systems; knowledge of ML/LLM fundamentals, ML frameworks, or agentic architectures.

Pay

USD 193,300.00 - 261,500.00 annually (base salary); USD 184,900.00 - 250,200.00 annually (base salary); USD 168,100.00 - 227,400.00 annually (base salary)

Tools

JAX, PyTorch, vLLM, SGLang, Dynamo, TorchXLA, TensorRT

AI focus

Generative AI and Agentic AI research and development, including intelligent agents for complex reasoning, multi-step workflow automation, and enterprise productivity.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)