Founding Machine Learning Engineer Jobs in USA 2026

Excited to build LLM-powered agents fused with time-series modeling? A stealth-mode startup seeks its Founding Machine Learning Engineer. H1-B and O1 visa sponsorship are both available for this role. If foundational, high-autonomy engineering excites you, this position offers genuine influence.

About the Role

You will design, train, and deploy production ML systems end-to-end. This includes building LLM-powered agents with multi-step reasoning and tool integration. Additionally, you will apply time-series modeling techniques like forecasting and anomaly detection. You will also define evaluation frameworks ensuring agent reliability and safety. This is an in-person role based in the San Francisco Bay Area. As a founding hire, you will shape core technical direction from the ground up.

About the Hiring Firm

The company operates in stealth mode, and its name was not disclosed in the posting. It focuses on combining LLM-powered agents with time-series foundation models. The company works directly with lighthouse customers to validate early solutions.

Job Duties

• Design, train, and deploy production-grade ML systems end-to-end
• Build LLM-powered agents with multi-step reasoning and tool use
• Develop evaluation frameworks ensuring agent reliability and safety
• Apply time-series modeling techniques to real-world customer scenarios
• Operate across data ingestion, deployment, and continuous monitoring
• Partner with researchers and customers to validate solutions quickly

Job Requirements

• 4–10 years of industry experience as an ML or Applied Scientist
• Hands-on expertise with LLM-powered agents and autonomous workflows
• Deep understanding of agent evaluation and safety techniques
• Familiarity with modern agent frameworks, including MCP and A2A
• Strong ML engineering practices, including CI/CD and observability
• Comfort operating within a fast-paced, ambiguous startup environment
• Experience training custom neural networks is a plus, not required

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Conclusion

This role suits engineers ready to shape agent-based AI from its foundation. With genuine technical ownership and direct customer access, the stakes feel real. For experienced ML engineers seeking startup impact, this opportunity offers rare scope.

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