Summer 2027 Intern (Any Team)

**About Preload**

Preload builds the data layer for physical AI. Robots learn mostly from video, but human interaction is much richer: touch, force, and muscle activity. We build a wearable multimodal stack (egocentric video, tactile gloves, EMG) to capture how people actually interact with the physical world, and turn it into datasets robotics teams can train on. We're a YC (F26) team of PhD founders from Johns Hopkins and Caltech with backgrounds at Neuralink, Paradromics, and other neurotech companies.

**The internship**

We're hiring interns for **Summer 2027** across every team we're building. You'll work on real problems alongside the founders and ship work that goes straight into our product, not a side project.

**Teams you can intern with**

- Biosignal ML / data science
- Robotics and policy learning
- Sensor engineering (electrical and firmware)
- Software engineering (data collection and data platform)
- Mechanical / soft-goods design for wearables
- Field engineering and data collection operations (surgical and general)
- Clinical research

Tell us which team (or teams) you're most excited about. If your interests cut across teams, that's great too.

**How to apply**

Along with your application, include links to two short videos (unlisted YouTube, Loom, Google Drive, or similar are all fine):

1. **A 1-minute intro video:** tell us about yourself, your interests (hobbies are welcome too!), and why you're excited about working at Preload.
2. **A 3-minute project video:** walk us through 1–2 projects you've worked on that you're most proud of. What did you build, what was hard, and what did you learn?

We care much more about substance than production quality. A phone recording is perfect.

**What we're looking for**

- Current students at any level (undergrad, master's, or PhD)
- A track record of building things, in class, in research, or on your own
- Curiosity about robotics, physical AI, neurotech, or medical devices
- Comfort with ambiguity and taking ownership

**Why join**

Early, in-person team in San Francisco. You'll get real ownership and work directly with the founders from day one.