About the role
Note: This is a fall/winter internship only.
The Role:
You will work directly with the founders on advancing the product roadmap and AgentHub’s core evaluation and simulation capabilities. You’ll have significant scope and will keep up to date with the latest state-of-the-art methodologies and techniques across areas like agent evaluation, data generation, and RL - translating these into real features in the hands of real users.
What you will do:
- Design and build the core methodologies and components for evaluating agents across axes like instruction following, safety, groundedness, and efficiency
- Research, experiment, and implement robust data generation capabilities
- Tie in the latest advancements in research and productionalize them to unlock value for our customers
Signs you might thrive in this role:
- Working towards a Bachelors/Masters/PhD in Computer Science or related field
- Passionate about building category-defining products
- Previous background and experience in reinforcement learning
- Demonstrated experience in model/agent evaluation is a major plus
- Opinionated, perpetually curious, and love having scope over a problem and delivering
About Panoptive
We turn unstructured monitoring data - monitoring visit reports, EDC data - into structured deviation, safety, and quality findings for human review. Panoptive generates an audit-ready oversight trail as a natural byproduct.
The platform aggregates findings and identifies systemic patterns across sites and subjects before they compound, and tracks every finding through decision, follow-up, and resolution.
Required skills
Other roles at Panoptive
Job details
Salary
$8,000 - $11,000
Location
San Francisco, CA
Funding
Last stage
Pre-seed
Investors
Founders
What happens next.
No applications, no recruiter spam. Just the intro.
Confirm the fit
A few questions to make sure this role is the right shape for you. Two minutes.
I pitch you to the company
I write the intro, send it to the founder, and handle the back-and-forth.
A meeting lands on your calendar
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.