# Research Intern - Robotics Data - Real-to-Sim at WorldEngine AI

- Company: WorldEngine AI
- Location: San Francisco, CA
- Type: Internship · Internship
- Posted: 2026-10-28
- Apply: https://jobs.ashbyhq.com/worldengine/ba22a6ae-9b75-4078-83c4-d908a29ccdd9/application?embed=true
- Page: https://newgrad.ai/jobs/research-intern-robotics-data-real-to-sim-8a663ec7

## Summary by newgrad.ai

What you'll do:

- Create workflows converting sensor data into simulation-ready environments.
- Build tools to validate robotics data and 3D geometry.
- Design experiments measuring how simulation quality impacts robot learning.
- Develop reproducible data pipelines and technical documentation.

What they're looking for:

- Students in robotics, computer science, or related technical fields.
- Proficiency in Python and machine learning or computer vision.
- Strong foundation in 3D geometry and research prototyping.
- Ability to manage scoped projects and debug complex pipelines.

## Posting

### About the Role

At WorldEngine, we’re building the data infrastructure for Physical AGI. Real-world experience is central to that effort: the scenes robots operate in, the objects they interact with, and the data that captures what happens.

As a Research Intern, you’ll investigate how real-world observations and robot interactions can be converted into high-quality datasets and simulation-ready environments. You’ll work closely with our engineering and research teams on 3D reconstruction, real-to-sim workflows, and experiments that measure how data and simulation quality affect robot learning and evaluation.

### What You'll Do

- Develop real-to-sim workflows that turn real-world images, video, and sensor data into simulation-ready scenes, objects, and environments
- Build tools to process, align, and validate robotics data, including visual observations, 3D geometry, and robot trajectories
- Investigate how reconstruction fidelity, scene coverage, and physical properties affect the usefulness of reconstructed environments for robot learning
- Design experiments and benchmarks to compare reconstructed environments with real-world reference data and measure their impact on robot learning and task performance
- Work with engineers to turn research prototypes into reproducible data pipelines, datasets, and evaluation tools
- Document methods, experiments, and findings, and contribute to technical reports or research publications where appropriate

### What We're Looking For

- Currently pursuing a degree in computer science, robotics, electrical engineering, or a related field, or equivalent hands-on research experience
- Strong Python programming skills and experience implementing and testing machine learning or computer vision methods
- A foundation in 3D geometry, computer vision, or robot learning, with the ability to turn research ideas into working prototypes
- Comfortable working with imperfect real-world data, debugging pipelines, and designing clear, controlled experiments
- Clear technical communication and the ability to take ownership of a scoped research project in an early-stage team

### Nice to Have

- Research or project experience in 3D reconstruction, neural rendering, or scene understanding
- Experience with robotics simulators or tools for scene and asset generation
- Hands-on experience training or evaluating robot policies in simulation or on physical systems
- Experience building reproducible experiments, processing multimodal datasets, or contributing to open-source projects

From WorldEngine AI's public posting, laid out for reading by newgrad.ai with the wording unchanged. Check the original before you apply.

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More new-grad and intern roles: https://newgrad.ai/llms.txt