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Founding Machine Learning Engineer (Agent Development & Time-Series Modeling)

Stealth Startup • United States
Visa Sponsorship
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AI Summary

Seeking a Founding Machine Learning Engineer to build production-grade systems combining LLM-powered agents and time-series foundation models. This role involves end-to-end ML system design, training, deployment, and monitoring, with a focus on agent interaction with multimodal numerical data. Requires 4-10 years of industry experience in ML engineering with hands-on expertise in LLM agents and time-series modeling.

Key Highlights
Foundational role in building production-grade ML systems with LLM agents and time-series models.
End-to-end ML system ownership: design, train, deploy, and monitor.
Defining novel approaches for agent interaction with multimodal numerical data.

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Key Responsibilities
Design, train, and deploy production ML systems (LLM-powered agents + time-series models)
Build and scale LLM-powered agents with advanced capabilities: multi-step reasoning, tool integration, autonomous workflows, memory/context management, and adaptive strategies
Develop and refine evaluation frameworks for agents, ensuring reliability, safety, and measurable performance
Apply and extend time-series modeling techniques (forecasting, anomaly detection, multimodal fusion) in real-world customer scenarios
Operate end-to-end: from data ingestion and preprocessing to deployment, monitoring, and continuous improvement
Stay ahead of the curve on the latest innovations in AI agents, orchestration frameworks, and infrastructure (MCP, A2A, etc.)
Partner directly with researchers, engineers, and lighthouse customers to validate solutions and drive rapid iteration
Technical Skills Required
LLM-powered agents Time-series modeling ML system design

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Benefits & Perks
Visa Sponsorship: H1-B, O1

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Nice to Have
Experience training custom neural networks beyond pre-trained LLMs (e.g., transformers for time-series or multimodal data)
A background in time-series modeling (forecasting, anomaly detection, classical + deep learning approaches)
Published research or open-source contributions in ML/AI

Job Description

We're hiring our Founding Machine Learning Engineer (MLE) with expertise in Agent Development and Time-Series Modeling. You'll play a foundational role in building production-grade systems that combine the power of LLM-powered agents with time-series foundation models.

The Role

This is not a narrow research role — you'll design, train, deploy, and monitor ML systems end-to-end, moving from prototype to production with speed and autonomy. You'll also be a core contributor to defining how agents interact with multimodal numerical data, a problem space where the playbook does not yet exist.

Job Description:

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Job Overview
Posted Sep 02, 2026
Employment Full-time
Experience Mid-Senior level
Location United States
Category Programming
Company Stealth Startup
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