Senior Research Scientist (Physical AI/Interpretability) at World Mechanics | CA, US | Rezi

Senior Research Scientist (Physical AI/Interpretability) at World Mechanics

Senior Research Scientist (Physical AI/Interpretability)

World Mechanics · CA, US

1 weeks ago

Senior Research Scientist (Physical AI/Interpretability)

World Mechanics · CA, US

9 days ago
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About the Role

World Mechanics is a commercial R&D neo-lab developing interpretable foundation models of and for the physical world. We focus on white-box evaluation of physical models, training intrinsically interpretable foundation models for the physical world, and interpretability-based learned simulators for physical systems.

Responsibilities

  • Own end-to-end research programs aligned with our core agenda, from problem selection to experimental validation, documentation, and delivery.
  • Set technical direction across world models trained on multimodal data, identifying generalizable modeling and interpretability approaches.
  • Set clear milestones, de-risk unknowns, and make evidence-based decisions on research direction.
  • Drive strong research practices including experimental design, iteration loops, ablations, evaluation methodology, and clear write-ups.
  • Mentor and support other researchers and research engineers, providing technical guidance and management.
  • Partner with leadership and customers to translate real needs into repeatable technical capabilities.
  • Lead and supervise publications and model releases, including open-source releases.

Requirements

  • Track record of high-impact ML research with strong taste and consistent execution.
  • Ability to generate original research directions and deliver concrete results under resource constraints.
  • Startup alignment: high agency, fast iteration, low ego, and comfortable wearing multiple hats.
  • Pragmatic, empirical mindset, avoiding ideology and lab politics while taking real-world risks seriously.
  • Strong writing and communication skills to make research legible to technical and non-technical stakeholders.
  • Prior work directly tied to mechanistic interpretability, multimodal/video world models, robotics foundation models, or scientific/industrial time-series.
  • Experience translating research into product capabilities, or building platforms used by other researchers.

Work Type

  • Office space and in-person collaboration

Experience Level

  • Senior

Salary/Compensations

  • $300,000 – $500,000

Benefits

  • Flexible working hours
  • Conference travel support, with opportunities to publish and open-source research
  • High-ownership role with substantial responsibility and autonomy
  • Problems worth working on: research that has direct commercial and real-world safety/economic relevance

About the Company

  • World Mechanics is a commercial R&D neo-lab developing interpretable foundation models of and for the physical world.
  • We study what mechanisms world models learn about the systems they are trained on, and how to make those mechanisms more faithful to the underlying causal structure of those systems.
  • We believe that models which learn interpretable, causal abstractions can provide a more principled foundation for explaining predictions, verifying model behavior, and monitoring and controlling models in deployment.
  • Our goal is to build general-purpose world models that serve as reliable simulators of physical systems and can be deployed broadly across applications ranging from prediction and maintenance to robotics and scientific discovery.
  • Our values include Empirical Rigor and Intellectual Openness, Ownership and Initiative, Seriousness, Kindness, and Mutual Respect, and Research with Real-World Impact.
  • We are especially interested in candidates with unconventional backgrounds or non-traditional paths.