RamAIn (YC W26)
Verified live 14h ago
Founding AI/ML Research Engineer
Brief overview
San Francisco, CAIn-person
UndergradOr in progress
$150k–$250k/yrStated range
Designing planning and reasoning architecturesTraining multimodal modelsBuilding fast action-selection systemsImproving system reliability, latency, and robustnessRunning experimentsRapidly shipping improvements to productionAI agent orchestration
About the company
RamAIn (YC W26)ramain.ai
We make tools that interact with your computer like a human.
Job description
Summary
RamAIn is a YC W26 company focused on building the world's fastest computer-use agents for enterprise work. They are seeking an early-career Founding AI/ML researcher to join their core team and help develop agents that can reason, plan, and execute complex workflows autonomously.
Responsibilities
- Designing planning and reasoning architectures for long-horizon computer-use agents
- Training multimodal models that understand UI layouts, screenshots, and DOM structures
- Building fast action-selection systems that operate across messy, real-world software
- Improving reliability, latency, and robustness of deployed agents
- Running experiments and rapidly shipping improvements to production
Skills
- Designing planning and reasoning architectures for long-horizon computer-use agents
- Training multimodal models that understand UI layouts, screenshots, and DOM structures
- Building fast action-selection systems that operate across messy, real-world software
- Improving reliability, latency, and robustness of deployed agents
- Running experiments and rapidly shipping improvements to production
- Moves quickly from idea → experiment → deployment
- Has built real AI agent orchestration systems
- Is excited about agentic AI, reasoning systems, experimentation or automation
- Thrives in a fast-moving early-stage startup environment
- Bachelor's degree with exceptional hands-on experience building agentic systems
- Recently completed a PhD or Master's in machine learning, AI, robotics or RL pipelines, multimodal models, or a related field
Qualifications
Must Haves
- Designing planning and reasoning architectures for long-horizon computer-use agents
- Training multimodal models that understand UI layouts, screenshots, and DOM structures
- Building fast action-selection systems that operate across messy, real-world software
- Improving reliability, latency, and robustness of deployed agents
- Running experiments and rapidly shipping improvements to production
- Moves quickly from idea → experiment → deployment
- Has built real AI agent orchestration systems
- Is excited about agentic AI, reasoning systems, experimentation or automation
- Thrives in a fast-moving early-stage startup environment
Nice to Haves
- Bachelor's degree with exceptional hands-on experience building agentic systems
- recently completed a PhD or Master's in machine learning, AI, robotics or RL pipelines, multimodal models, or a related field
