Company Description

We are a stealth AI-for-science company. Our mission is to accelerate scientific discovery by deploying AI that learns from real-world experiments. We are a small, technical team operating across India and the US.

Role Description

You will develop the datasets, benchmarks, and evaluation systems that tell us whether AI models can do helpful scientific work. Working closely with the founding team, you will translate real physics and engineering problems into reproducible evaluation environments with well-defined inputs, ground truth, baselines, metrics, and pass conditions. Your work will connect numerical simulation, scientific machine learning, AI agents, and experimental evidence.

This is a hands-on research and engineering role. You will write code, run simulations, inspect data, reproduce results, challenge model claims, and help determine what we build next.

Responsibilities

Scientific Evals and Benchmarks
Design evaluations for scientific models and agents across reasoning, simulation, prediction, tool use, and experiment selection.




Turn real scientific workflows into bounded tasks with objective success criteria.
Establish classical numerical, statistical, and machine-learning baselines.
Measure physical consistency, predictive accuracy, calibration, robustness, out-of-distribution behavior, and computational efficiency.
Evaluate whether models improve real decisions, such as selecting simulations or experiments.
Create adversarial and failure cases involving incorrect units, boundary conditions, assumptions, solver settings, or physical constraints.
Build reproducible evaluation harnesses, reports, and regression tests.

Scientific Data
Source, inspect, clean, and structure simulation and experimental datasets.
Represent units, coordinates, geometries, meshes, boundary and initial conditions, protocols, uncertainty, provenance, and failed runs correctly.
Define dataset schemas, quality checks, splits, documentation, and versioning.
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📌 Member of Scientific Staff, Computational Physics (Bengaluru)
🏢 Stealth
📍 Bengaluru