Research Scientist
On-siteBellevue, Washington, United States
Job Summary
Train foundational models for supply chain expertise by building corpora, adapting general-purpose models to specialized domains, and creating datasets others build on. Design evaluation frameworks that surface what standard benchmarks miss and treat failed runs as signal to rebuild pipelines from the tokenizer up. Ship clean datasets and eval harnesses that enable teammates to pick up work cold, ensuring checkpoints run flawlessly in production under real load on customer data. Iterate through release cycles where each version is measurably stronger than the last, moving from research past the paper into end-to-end systems used by practitioners.
Required Qualifications
- You've built foundational training data at scale, corpora and not just models, and understand that what goes into a model matters as much as its architecture.
- You've led a project across multiple release cycles, each one measurably better than the last.
- You've designed evaluation methodology that goes beyond standard benchmarks, built specifically to surface what those benchmarks miss.
- You've adapted general purpose models to specialized, knowledge intensive domains and understand what actually transfers versus what has to be rebuilt.
- You've created datasets that other researchers and practitioners now build on.
- You've taken research past the paper and into a real, end to end system that people other than researchers actually use.
Desired Qualifications
- Recognition, best paper or outstanding paper or otherwise, has followed the work, but wasn't the point of the work.
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