About the role
2026 Summer Research Engineer Intern
Join us in pushing the boundaries of what's possible with LLMs and browser-native AI. You'll work on cutting-edge problems in agent systems, context handling, and tool use, while collaborating directly with our research team to bring novel approaches to production.
What You'll Build
- Browser agent and tool-calling multi-agent systems.
- Evaluation frameworks for memory, efficiency, and accuracy.
- Memory and personalization layer for workflows
Requirements
- Research or work experience with RL environments, LLMs, modern AI frameworks, and/or ML.
- Experience with prompt engineering strategies.
- Strong foundation in Python and TypeScript.
Sample Projects
- Designing and creating tool-calling environments to evaluate and benchmark agent systems
- Agentic systems that predict and execute users’ next steps in complex workflows.
- Mapping user paths on real world software to API functionality and action trajectories.
- A searchable, self-updating memory store for continuously learning agents.
- A system to interpret DOM snapshots, mouse click events, and keyboard inputs to select browser actions.
- A context composer that feeds relevant info into LLM prompts based on user interactions, page content, and memory.
About Dex
The AI Coworker in Chrome
Other roles at Dex
Job details
Salary
$6,000 - $10,000
Location
San Francisco, CA
Funding
Total raised
$500K
Last stage
Seed
Investors
What happens next.
No applications, no recruiter spam. Just the intro.
01
Confirm the fit
A few questions to make sure this role is the right shape for you. Two minutes.
02
I pitch you to the company
I write the intro, send it to the founder, and handle the back-and-forth.
03
A meeting lands on your calendar
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.