Mercor
Greater London / Global
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Greater London / Global
About the roleA frontier engineering-reasoning evaluation run in collaboration with a leading AI research lab. The work measures whether state-of-the‑art models can reason from first principles in your engineering domain rather than retrieve facts from training data — and you get visibility into the model's internal reasoning on your own tasks.What you'll doDomain experts write simulations and specification sheets; the model attempts to design an artifact — controller gains, circuit parameters, geometry — that satisfies every spec.You define the simulation, a set of specs with pass/fail thresholds, and the prompt. The model probes your simulation with a limited number of calls, then submits a final design. An agentic grader runs the simulation and scores spec satisfaction.Who we're looking forDeep applied expertise in control systems, analog or RF circuits, power electronics, or mechanical design — PhD or equivalent industry track record.Comfortable writing simulations in Python and expressing acceptance criteria as quantitative, testable thresholds.Able to design a problem you can't shortcut yourself, but can still judge rigorously.Comfortable working in a browser-based studio and GitHub.SupportOnboarding calls run daily, alongside internal tooling built to help you work faster. Prior model-evaluation experience is not required.
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Greater London / Global
Greater London / Global
Greater London / Global
Greater London / Global
Greater London / Global
Greater London / Global