Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Senior Research Scientist (Physical AI/Interpretability) role.
Rezi rewrites your resume against World Mechanics's job description. Free.

Tailor your resume to this Senior Research Scientist (Physical AI/Interpretability) role.
Rezi rewrites your resume against World Mechanics's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Senior Research Scientist (Physical AI/Interpretability) posting at World Mechanics — free, in seconds.

Don't guess if your resume is good enough.
See how it scores against the Senior Research Scientist (Physical AI/Interpretability) posting at World Mechanics — free, in seconds.
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.