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AI​/ML Research Engineer at G

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Jack & Jill/External ATS
Full Time position
Listed on 2026-04-25
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Artificial Intelligence, Data Scientist
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below
Position: AI/ML Research Engineer at General catalyst.com

Job Title

AI/ML Research Engineer

Company Description

- YC W26 startup building computer-use agents

Job Description

Join a high-signal team building the world’s fastest computer-use agents for enterprise workflows. You will transition rapidly from research to production, developing reasoning models and vision-language systems that automate complex manual tasks at 10x speed. This is a rare opportunity for an early‑career researcher to shape the core intelligence of a winning YC startup.

Location

San Francisco, USA

Why this role is remarkable
  • Ground‑floor opportunity at a Y Combinator W26 company with significant strategic backing and early enterprise traction.
  • Direct impact on core technology, working closely with founders to define how agents reason, plan, and execute at scale.
  • High‑velocity research environment that prioritizes shipping production‑quality systems over purely theoretical academic exercises.
What you will do
  • Design and implement novel agentic architectures for GUI automation using large reasoning models and chain‑of‑thought frameworks.
  • Develop multi‑agent coordination strategies, managing complex context, memory, and resource utilization for autonomous task execution.
  • Collaborate with engineering teams to deploy research prototypes into production environments for real‑world enterprise customer use cases.
The ideal candidate
  • Holds a PhD or Master’s in CS/AI from a top‑tier institution with a strong track record of research or high‑impact projects.
  • Possesses deep technical expertise in PyTorch, agentic orchestration (Lang Chain/AutoGPT), and vision‑language models for screen understanding.
  • Demonstrates the ability to move from research papers to working prototypes with the speed and rigor required in a fast‑paced startup.
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