Senior Research Engineer, Mechanical Intuition in Multimodal Models
Quick Summary
At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience.
At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.
The Future Factory team in TRI's Energy and Materials division focuses on developing cutting-edge tools and methods to accelerate change and increase flexibility and efficiency in Toyota's product design and manufacturing, to speed the transition to an emissions-free world. To achieve this we are building end-to-end AI systems that can reason about how physical objects are designed and made — from geometry and constraints through to simulation and assembly — and developing the engineering infrastructure needed to train, evaluate, and iterate on these systems at scale.
We are looking for a Senior Research Engineer to join us in building the systems and tools that power our research on physical AI. This role is well-suited for someone with a strong software engineering foundation, deep experience working with geometry or physical modeling, and a genuine interest in how things are made.
As a research engineer on the team, you will design and build the pipelines and tooling that allow researchers to move fast and measure what matters — from large-scale training and evaluation infrastructure to the geometry processing and physics-aware components at the core of our models. You will work at the intersection of software engineering and research, translating emerging ideas into robust, production-quality implementations.
Location & Eligibility
Listing Details
- Posted
- April 2, 2026
- First seen
- April 6, 2026
- Last seen
- April 27, 2026
Posting Health
- Days active
- 21
- Repost count
- 0
- Trust Level
- 33%
- Scored at
- April 27, 2026
Signal breakdown
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