Founding ML Engineer: Agent-Driven Time-Series Systems

Stealth Startup; San Francisco (CA); On-site; USD 120,000 - 150,000; Full time

Job summary

Stealth Startup is hiring a Founding Machine Learning Engineer (MLE) in San Francisco, CA. In this role, you'll design, train, and deploy machine learning systems, focusing on LLM-powered agents and time-series models. You'll play a key role in building production-grade systems with advanced capabilities.

The ideal candidate has 4-10 years of experience and is comfortable operating in a fast-paced startup environment. If you possess hands-on expertise in LLMs and time-series modeling, this opportunity is for you.

Qualifications

• 4-10 years of experience as an ML Engineer, Research Engineer, or Applied Scientist.
• Proven track record of shipping production ML systems.
• Hands-on expertise in LLM-powered agents with advanced capabilities.

Responsibilities

• Design, train, and deploy production ML systems.
• Build and scale LLM-powered agents with advanced capabilities.
• Develop and refine evaluation frameworks for agents.
• Operate end-to-end: from data ingestion to deployment and monitoring.

Skills

Machine Learning Engineering

LLM-powered agents

Time-Series Modeling

Autonomous Workflows

Data Preprocessing

ML Engineering Best Practices

Job description

Stealth Startup is hiring a Founding Machine Learning Engineer (MLE) in San Francisco, CA. In this role, you'll design, train, and deploy machine learning systems, focusing on LLM-powered agents and time-series models. You'll play a key role in building production-grade systems with advanced capabilities.

The ideal candidate has 4-10 years of experience and is comfortable operating in a fast-paced startup environment. If you possess hands-on expertise in LLMs and time-series modeling, this opportunity is for you.