Drimva

Amazon

Data Scientist, Automated Vehicle Testing

$136K–$184K

REDMOND, WA +1 · Full-time · Posted Aug 20, 2026

Location
REDMOND, WA
Redmond, WA
Experience
2+ years of data scientist experience; 3+ years of experience with data querying/scripting languages or statistical/mathematical software; 3+ years of machine learning/statistical modeling and data analysis experience; 1+ years working with or evaluating AI systems.
Education
Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in STEM.
Visa sponsorship
Candidates must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

About the job

Architects data infrastructure, models, and analysis tools for automated satellite testing to support flight-readiness decisions and improve manufacturing and satellite reliability.

What you'll do

  • Partner with engineering, software, and manufacturing teams to analyze satellite performance and define test data strategies.
  • Build production models, telemetry pipelines, and analysis tools for satellite test results.
  • Create and manage datasets for LLM continued pre-training and supervised fine-tuning, and optimize testing methods.

What they ask for

  • 3+ years of experience with data querying or scripting languages, or statistical/mathematical software.
  • 3+ years of experience with machine learning or statistical modeling, data analysis tools and techniques, and performance parameters.
  • 1+ years of experience working with or evaluating AI systems.
  • Master's degree in STEM, or experience working in STEM; experience applying theoretical models in an applied environment.

Nice to have

  • Experience defining and creating benchmarks for GenAI model performance.
  • Knowledge of machine learning concepts and their application to reasoning and problem-solving.

Pay

136,000.00 - 184,000.00 USD annually (base salary)

Tools

SQL, Python, R, SAS, Matlab, Perl

AI focus

Work with or evaluate AI systems; create and manage datasets for continued pre-training and supervised fine-tuning of LLMs; potentially define benchmarks for GenAI model performance.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 6, 2026 (UTC)