Robotics · Infrastructure
Robotics Platform Engineering Intern: Data and Evaluation
Build reliable tooling that turns physical robot rollouts into reproducible learning experiments.
Why Origami
Join a small team building the platform that turns physical robot experience into better behavior. You’ll own a focused infrastructure project used by robotics and ML engineers, work on real systems, and ship something that lasts beyond the internship.
In This Role You Will
- Build a robot episode viewer and failure-annotation interface.
- Automate dataset validation and quality reporting.
- Create a reproducible training launcher with experiment tracking.
- Implement an on-robot task-evaluation harness.
- Trace dataset lineage from physical rollout to trained checkpoint.
- Develop failure-mining and targeted data-generation tools.
What We Hope You’ll Bring
- Current or recent degree candidate in robotics, computer science, or a related field.
- Strong Python and experience with C++ or robotics systems.
- You have trained or deployed at least one ML model.
- Experience with a physical robot and practical debugging.
- Evidence of independently building difficult technical projects.
Bonus Points If You Have
- Experience building data pipelines, training tools, experiment tracking, or evaluation harnesses.
- Familiarity with ROS2, multimodal robot data, cloud compute, or containerized workloads.
- A tool or system that other researchers or engineers have used.
What to include
- A robotics data, tooling, or evaluation system you personally built, with code or a demo.
- How you made it reliable or useful for others, including a difficult failure you diagnosed.