About the job
About EliseAI
EliseAI is at the forefront of revolutionizing critical sectors like housing and healthcare. Everyone deserves a secure place to live and access to high-quality medical care, yet these essentials can often be difficult to obtain.
By seamlessly integrating AI agents into existing workflows, we enhance efficiency, lower costs, and elevate the overall user experience.
Housing: We simplify the rental process, enabling users to tour apartments, sign leases, submit maintenance requests, and maintain communication with property management, all within one convenient platform.
Healthcare: Our solutions streamline appointment scheduling, intake form completion, and patient-provider communications, allowing individuals to prioritize their health over administrative tasks.
At EliseAI, we empower organizations to minimize manual labor, enhance accessibility, and provide a cohesive experience in vital services. We recently secured a $250 million Series E funding round led by Andreessen Horowitz to further accelerate our mission.
About The Role
We are looking for exceptional Machine Learning experts to join our expansive research team. Ideal candidates will possess remarkable mathematical and quantitative abilities, strong programming skills, and impressive academic backgrounds, such as mathematicians, theoretical physicists, or computer scientists, who are eager to apply their knowledge to tackle real-world problems.
In this role, you will engage with advanced topics in machine learning and large language models, develop predictive algorithms to enhance our AI functionalities, and conduct systematic analyses on substantial datasets. As a Senior Research Scientist, you will lead comprehensive research projects that drive the evolution of EliseAI’s core models, and we expect you to influence the company's research direction. If you are passionate about utilizing your academic expertise in a vibrant startup culture, we would love to hear from you.
Key Responsibilities
Identify critical questions in tenant engagement, conversational AI, and LLM safety, transforming them into structured projects.
Design and execute experiments, develop prototypes, and implement large-scale studies to validate hypotheses.
