Sr. AI Researcher (PhD)

Qualifications:

* Advanced degree (PhD, MD, or equivalent experience) in machine learning, biomedical engineering, computer science, or related field

* At least 6 years of experience overall, including at least 1 year of significant work with LLMs and/or multimodal systems

* Prior experience leading and managing technical teams

* Demonstrated experience deploying AI systems in healthcare

* Demonstrated experience building or deploying AI/ML or digital health systems in low-resource or high-variability environments, with an understanding of constraints such as limited infrastructure, data quality challenges, and end-user usability in frontline care settings

Responsibilities

* Define and execute the roadmap for LLM and multimodal AI across the organization

* Make architectural decisions across prompting, fine-tuning, retrieval (RAG), and multimodal system design

* Set standards for model evaluation, safety, and deployment

* Build, manage, and mentor a team of AI/ML researchers, engineers, clinicians

* Establish clear goals, execution plans, and performance expectations for the team

* Create a culture of rigor, documentation, and accountability—especially around clinical risk

* Own safety frameworks for AI systems, including hallucination mitigation and fail-safe design

* Ensure human-in-the-loop systems are appropriately designed and implemented

* Guide development of systems combining text, voice, image, and structured data

* Partner with product, engineering, and clinical teams to translate research into deployable features