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Specialized senior ML research role reduces applicant density despite metro location and known company presence.
Requires deep LLM, prompt-engineering, and applied research expertise, limiting cross-industry transferability.
Explicit 8+ years plus mandatory ML, statistics, and LLM experience creates high filtering.
Drive applied research focused on AI Agent technology within the Voice of the Customer (VOC) AI Agent software platform to improve autonomous customer support and service agents.
Design and run experiments including algorithm conception, prompt engineering, clustering, metric definition, data collection, and model fine-tuning to enhance AI agent performance.
Ensure research outcomes translate rapidly into product improvements, participating in all steps from experiment design to evaluation and documentation.
Graduate degree in Statistics, Mathematics, Computer Science, Operations Research, Engineering or related quantitative field.
8+ years experience in Python, R, and applied statistics.
1+ years experience in applied research on AI Agents, including knowledge of multi-agent architectures, prompt engineering, and AI Agent frameworks like LangChain or LangGraph.
Experience developing simulators and test environments using Python; strong knowledge of statistical methodologies including A/B testing, regression, and statistical tests.
Experienced in applied AI research closely aligned with product needs in autonomous AI agent development for customer-facing applications.
Technical expertise in AI Agent frameworks and prompt engineering to innovate within multi-agent systems and evaluate large and small language models.
Ability to integrate business acumen to translate stakeholder input into impactful research and product improvements.