Senior Software Engineer, ML Evaluation & Introspection Infrastructure

Aurora, Seattle, WA +2

What you will do

Build and scale evaluation pipelines that compare model versions on large driving datasets: offline evals, slice-based metrics, regression detection, and model-vs-model reports.
Own embedding and vector-search pipelines over driving data, versioned per model, so engineers can search, cluster and compare how any model represents the world. This is where you’d start: owning embedding generation and search end to end.
Build model introspection infrastructure (attention, attribution, ablations) that turns “why did the model do that?” from a research project into a query.

Aurora, Seattle, WA +2

$162K–$260K

a year

This base pay is below the median for senior ML and AI engineering jobs in the Bay Area.

We compare the middle of each posted range. This is base pay as posted. The group does not include this job.

The Aurora site opens in a new tab.

No one has reported an interview at Aurora yet. Did you interview there? Add the questions.

Compare your résumé with this job. See where you match, what is missing and which lines to change.

Build and scale evaluation pipelines that compare model versions on large driving datasets: offline evals, slice-based metrics, regression detection, and model-vs-model reports.
Own embedding and vector-search pipelines over driving data, versioned per model, so engineers can search, cluster and compare how any model represents the world. This is where you’d start: owning embedding generation and search end to end.
Build model introspection infrastructure (attention, attribution, ablations) that turns “why did the model do that?” from a research project into a query.