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
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