- Salary
- $30 – $60/yr
- Location
- San Francisco, California, US
- Type
- Internship
- Department
- Engineering
- Seniority
- Internship
- Source
- Y Combinator
Description
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 systems.
- Evaluation frameworks for agent performance.
- Memory and personalization layer for workflows
Requirements
- Research/work experience with LLMs, modern AI frameworks, and/or ML.
- Experience with prompt engineering strategies.
- Strong foundation in Python and TypeScript.
Sample Projects
- Agentic systems that predict and execute users’ next steps in complex workflows.
- A searchable, self-updating memory store for personalized browser agent behaviour.
- Designing intuitive interfaces for how users should delegate and override AI actions.
- 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.
Skills
PythonTypeScript
