Principal Generative AI Scientist

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September 22

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Lirio

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Healthcare Insurance • Artificial Intelligence • SaaS

Lirio is a healthcare technology company that empowers personalized healthcare journeys through hyper-personalized communications aimed at improving health outcomes. By leveraging the expertise in behavioral science, Lirio influences individual health actions and adapts communications to a person's evolving clinical history and social context. Their platform, powered by the world’s first Large Behavior Model for healthcare, automates engagement with healthcare populations via dynamic interactions, enhancing the personalization of healthcare experiences. Through Precision Nudging®, the company helps patients and members engage more effectively with healthcare systems and benefits, promoting healthier populations and reducing care costs. Lirio emphasizes personalized, sustained engagement, helping organizations proactively address health equity and close care gaps to achieve improved clinical and financial outcomes.

51 - 200 employees

⚕️ Healthcare Insurance

🤖 Artificial Intelligence

☁️ SaaS

💰 $3M Debt Financing on 2022-07

📋 Description

• Lead research initiatives to drive conversational AI model improvements and guide generative AI-driven product solutions • Collaborate with AI researchers and engineers to improve conversational technologies and integrate them into Lirio’s objective-driven architecture and agentic framework • Ensure conversational feedback is leveraged in the proprietary behavior-based foundation model • Research, develop, and improve techniques to enable behavioral-science content libraries and knowledgebases to be optimally leveraged in real-time by language models • Align and leverage feedback mechanisms within the Objective-Driven AI framework for LLM conversational models • Work with personalization experts to leverage personalized embeddings and broader context in patient-facing conversational models • Contribute to research on safety and trustworthiness of medical chatbots • Plan and carry out integration of scientific research advances within Lirio’s products following software engineering processes • Oversee design, build, and maintenance of scalable, secure generative AI platforms and core services • Contribute to Lirio’s mission of improving health outcomes for everyone

🎯 Requirements

• PhD in Computer Science, Computer Engineering, Mathematics, or a related field • 7+ years of experience • Deep expertise in LLMs, conversational AI, deep learning, transformer architectures, and attention mechanisms • Practical LLM engineering experience: model alignment, fine-tuning, RAG, guardrail implementation, agentic communication protocols • Expertise in general machine learning principles and theory (deep reinforcement learning, multi-task learning, JEPA, optimization) • Demonstrated contributions to scientific advances through publications and thought leadership • Experience operationalizing conversational AI models and deploying/hosting agentic models • Experience deploying AI technologies within healthcare is highly desirable • Extensive R&D background in machine learning focused on LLMs and conversational models (research + engineering)