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2026 Summer AI/ML Engineer Intern

ThirdLayer· Engineering
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Hybrid (San Francisco, CA)$6k/mo - $10k/moInternPosted 11mo ago

About the role

Summer intern role at Thirdlayer focusing on AI/ML, with emphasis on continual learning for enterprise AI, browser-native AI, and agent systems. Collaborate with research and production teams to push LLM-based solutions and tool-use in browser context.

Responsibilities

  • Browser agent and tool-calling multi-agent systems.
  • Evaluation frameworks for memory, efficiency, and accuracy.
  • Memory and personalization layer for workflows.

Qualifications

  • 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.

Skills

Required:RL environmentsLLMsmodern AI frameworksprompt engineeringPythonTypeScript

Benefits

  • $6K - $10K / monthly
  • Location: San Francisco, CA, US
  • Will sponsor visa
Last updated Sep 16, 2026. Interested? Apply on the company site.
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About ThirdLayer

Building Dex, the AI Browser Copilot

ThirdLayer is an applied research and product lab building the next interface for human–AI collaboration. Our first product is Dex, an AI copilot for the browser. Think Cursor for knowledge work, optimized for speed and embedded directly where you work. Most web agents are built for set-and-forget tasks. But real work is fluid and messy—spread across tabs, tools, and evolving decisions. Dex transforms your browser into an intelligent, multimodal workspace that understands your intent through voice, text, and action. It enhances familiar interfaces, automates tedious steps, and removes the friction of handoffs. Beneath the surface, Dex is more than a browser agent — it’s a foundation for: ● Long-term, cross-modal memory grounded in real workflows ● A new interaction layer to replace static UI with a collaborative canvas ● Personalization: understanding how individuals approach tasks and navigate software We're building the infrastructure for adaptive, intent-aware systems that work the way you do.

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