Research Engineer, Model Evaluations
This is an analysis of the public job description. It is not a confirmed description of this company's interview process, and no company has reviewed or endorsed it.
What the posting clearly emphasises
- Designing evaluations and the distributed infrastructure to run them.
- Metrics, dashboards and debugging anomalous evaluation results.
- Prompting, sampling and scaffolding choices; on-call production support.
What that likely means for preparation
- The strongest single preparation is a debugging story: an eval number moved, and you found out whether the model, the harness or the data changed.
- Expect distributed systems questions framed around eval throughput, retries, determinism and cost.
- On-call is named in the posting, so operational judgment is fair game: alerting, triage, and what you page a human for.
What stays unknown about the loop
- How much of the loop is infrastructure engineering versus evaluation methodology.
- The round order, count and length. Postings describe the job, not the loop.
- Whether AI assistants are allowed, required or banned in any coding exercise.
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