Senior Digital Twin ML Engineer

About Grafton Sciences

We’re building AI systems with general physical ability — the capacity to experiment, engineer, or manufacture anything. We believe achieving this is a key step towards building superintelligence. With deep technical roots and real-world progress at scale (e.g., a $42M NIH project), we’re pushing the frontier of physical AI. Joining us means inventing from first principles, owning real systems end-to-end, and helping build a capability the world has never had before.

About the Role

We’re seeking a Senior Digital Twin ML Engineer to build high-fidelity digital twins of robotic, electromechanical, and experimental systems. You’ll design model-identification pipelines, calibration routines, dynamic-model learning systems, and multi-scale representations that enable accurate predictive simulation and closed-loop interaction with RL, planning, and control stacks. This role blends physics intuition, ML modeling, and hands-on experimentation to ensure digital twins remain stable, accurate, and continuously updated as real systems evolve.

Responsibilities

• Develop model-identification pipelines, parameter fitting routines, and adaptive calibration systems for digital twins.
• Build ML-based dynamic models, multi-scale physics approximators, and hybrid simulation frameworks.
• Ensure twin fidelity, stability, and cross-version consistency as real systems change or new data arrives.
• Collaborate with simulation, RL, controls, and agent systems teams to integrate digital twins into learning and decision-making workflows.

Qualifications

• Strong experience building or calibrating digital twins, dynamic models, or data-driven physics models.
• Familiarity with system identification, time-series modeling, physical parameter estimation, and stability/fidelity considerations.
• Ability to blend physics, machine learning, and experimental data into robust predictive models.
• Comfortable working across ML, simulation tools, and physical hardware interfaces in a fast-moving research and engineering environment.

Above all, we look for candidates who can demonstrate world-class excellence.

Compensation

We offer competitive salary, meaningful equity, and benefits.