About the job
About EliseAI
EliseAI is dedicated to transforming the critical sectors of housing and healthcare. We recognize that securing a home and accessing quality healthcare are essential yet often challenging tasks.
By seamlessly integrating AI agents into existing workflows, we enhance efficiency, reduce costs, and significantly improve user experiences.
Housing: Our platform simplifies the processes for renters—making apartment tours, lease signings, maintenance requests, and communication with property teams effortlessly manageable, all from a centralized hub.
Healthcare: We streamline appointment scheduling, intake forms, and patient-provider communication, allowing all parties to prioritize health over administrative burdens.
At EliseAI, organizations can decrease manual workloads, enhance accessibility, and create a seamless experience across vital services. Recently, we secured a $250 million Series E funding led by Andreessen Horowitz to further advance our mission.
About The Role
We are in search of exceptional Machine Learning experts to join our dynamic research team. Ideal candidates will possess strong mathematical and quantitative backgrounds, advanced programming skills, and impressive academic credentials, including but not limited to mathematicians, theoretical physicists, and computer scientists, all with a passion for applying their expertise to tackle real-world problems.
As a Senior Research Scientist, you will explore cutting-edge challenges in machine learning and large language models, develop predictive algorithms to enhance our AI capabilities, and conduct systematic analyses of extensive datasets. You will lead comprehensive research initiatives aimed at advancing EliseAI's core models and play a pivotal role in shaping our research agenda. If you are eager to leverage your academic experience in a fast-paced startup setting, we invite you to apply.
Key Responsibilities
Identify pressing questions in tenant engagement, conversational AI, and LLM safety; convert them into structured projects.
Design and execute experiments, develop prototypes, and manage large-scale data analysis.

