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Senior Machine Learning Engineer

2 weeks ago

San Francisco, California, United States Acceler8 Talent Full time

Senior Digital Twin ML Engineer - San Francisco, CA

A company building AI systems that can interact with the physical world at scale - designing experiments, controlling hardware, and accelerating scientific discovery from days to reality are looking for a Senior Digital Twin ML Engineer to join their team.

What Will I Be Doing:

  • 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 evolve and new data arrives
  • Collaborate with simulation, RL, controls, and agent systems teams to integrate digital twins into learning and decision-making workflows

What We're Looking For:

  • 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 intuition, machine learning, and experimental data into robust predictive models
  • Comfortable working across ML, simulation tools, and physical hardware interfaces in a fast-moving environment

What's In It For Me:

  • Salary of $200,000 - $300,000 dependent on experience
  • Greenfield work. Build something that doesn't exist, at the frontier of physical AI and automated hardware design
  • Real impact. Control actual physical systems contributing to breakthroughs in cancer detection, materials science, and more
  • Join a company backed by significant venture funding and a $42M government research programme

Apply now for immediate consideration