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Cognition practice

Research Engineer, Infrastructure mock interview

Practice for a Research Engineer, Infrastructure round at Cognition. The AI interviewer asks out loud, follows up, and scores your answers after the session.

InfrastructurePythonPyTorchCUDA
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What this interview will probe

Build the training and evaluation infrastructure behind Cognition's models for Devin, owning the data, compute, and harness that let researchers iterate quickly on post-training and agent capabilities. You'll bridge ML research and large-scale systems engineering. A technical interview would probe distributed training pipelines, large-scale data and eval harness design, and how you'd build infrastructure that makes model and agent experiments fast, reproducible, and cheap to run.

ExoForm is not affiliated with Cognition. This is an independent practice page.

Stack

PythonPyTorchCUDA

Related practice pages

FAQ

How should I prepare for a Research Engineer, Infrastructure interview?

Read the role brief, refresh the core stack, and practice explaining tradeoffs out loud. Live interviews test clarity as much as knowledge.

What do I get after the interview?

ExoForm gives you an overall score, a verdict, competency scores, and answer-by-answer feedback.

Can I use my own job description instead?

Yes. You can paste any job description and run a custom interview instead of starting from the catalog.