We are building an AI-driven platform focused on deterministic probabilistic systems and large-scale simulation environments.

The role focuses on designing the mathematical production architecture that governs how probabilistic models are defined, validated, and deployed across releases.

This is not a single-model design role.
The focus is on system-level ownership of the mathematical framework powering the platform.

You will work at the intersection of mathematical modeling, simulation systems, and production architecture, ensuring deterministic behavior and statistical integrity across large-scale model deployments.

Responsibilities

• Design and maintain a reusable mathematical framework for probabilistic models
• Architect deterministic validation pipelines between simulation and production systems
• Define statistical validation standards across model releases
• Develop governance for probabilistic behavior and system integrity
• Ensure reproducibility and deterministic behavior of simulation environments
• Collaborate with engineers on production deployment of mathematical models

What we look for

• Strong background in probabilistic modeling and stochastic systems
• Experience working with large-scale simulation environments
• Ability to design reusable mathematical frameworks across multiple releases
• Understanding of Monte Carlo simulation or statistical validation methods
• Strong analytical thinking and system-level architecture mindset

Nice to have

• Experience designing deterministic simulation pipelines
• Knowledge of statistical convergence testing and probabilistic verification
• Experience working in high-performance modeling environment