Founding ML Engineer: LLM Agents & Time-Series

Stealth Startup; San Francisco (CA); On-site; USD 140,000 - 240,000; Full time

Job summary

Stealth Startup is hiring a Founding Machine Learning Engineer to design, train, deploy, and monitor production ML systems that fuse LLM-powered agents with time-series models. You will shape how agents interact with multimodal data, build scalable workflows, and drive rapid iteration with researchers and lighthouse customers.

You will own end-to-end responsibilities from data prep to deployment, with emphasis on reliability, safety, and performance evaluation.

Qualifications

• Proven industry experience in ML engineering 4-10 years.
• Hands-on with LLM-powered agents: multi-step reasoning, tool use, context windows.

Responsibilities

• Design, train, and deploy production ML systems (LLM-powered agents + time-series models).
• Build and scale agents with multi-step reasoning, tool integration, autonomous workflows, memory/context management.

Skills

LLM-powered agents

Time-series modeling

Production ML systems

CI/CD

Observability

Agent memory

Safety and reliability

Tools

MCP

A2A

Job description

Stealth Startup is hiring a Founding Machine Learning Engineer to design, train, deploy, and monitor production ML systems that fuse LLM-powered agents with time-series models. You will shape how agents interact with multimodal data, build scalable workflows, and drive rapid iteration with researchers and lighthouse customers.

You will own end-to-end responsibilities from data prep to deployment, with emphasis on reliability, safety, and performance evaluation.