Grafton Sciences ยท 2 days ago
Senior Digital Twin ML Engineer
Redwood City, CA
Full-time
Onsite
Senior LevelGrafton Sciences is building AI systems with general physical ability aimed at achieving superintelligence. The Senior Digital Twin ML Engineer will design and develop high-fidelity digital twins and collaborate with various teams to integrate these models into workflows.
Machine LearningRobotics
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
Qualification
Required
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
Benefits
Competitive salary
Meaningful equity
Benefits
Company
Grafton Sciences
Building systems of general physical ability to enable superintelligence
Founded in 2024
11-50 employees
H1B Sponsorship
Grafton Sciences has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
Funding
Current Stage
Early StageCompany data provided by crunchbase