Design, train, and deploy production ML systems combining LLM-powered agents with time-series models. Develop and refine evaluation frameworks for agents. Operate end-to-end from data ingestion to deployment, monitoring, and continuous improvement.
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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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