Senior Clinical AI Product Scientist – Health AI

Senior Clinical AI Product Scientist – Health AI

Santa Clara, California, United States Machine Learning and AI

This role sits at the intersection of health, technology, and human potential, shaping how ordinary people understand, manage, and improve their well‑being. As Senior Clinical AI Product Scientist, you will help transform real‑world health insights into foundation models that empower individuals to make meaningful, sustainable changes in their daily lives. Your work will not only guide the technical direction of groundbreaking health AI systems, it will advance a more supportive, accessible, and human‑centered future for everyone seeking to live healthier.

The Senior Clinical AI Product Scientist in Health AI will serve as a pivotal leader in the intersection of clinical medicine, machine learning, and product development. You define and drive the technical and product requirements for next‑generation foundational AI systems that serve healthcare providers, patients, caregivers, and consumers. Leveraging your deep product and technical experience in machine learning, you will lead end‑to‑end development of health foundation models for medical record processing, clinical workflows, and patient‑facing applications.

You will conduct stakeholder research across clinical domains, architect AI systems in healthcare settings, define validation and evidence‑generation frameworks, and make informed technical decisions from research through production deployment.

• Lead cross‑functional teams (data science, machine learning engineering, clinical informatics) to develop foundational AI systems in the healthcare domain.
• Define product strategy and technical requirements for novel AI health models and their application in user products and research.
• Conduct user research and discovery with stakeholders (clinicians, informaticists, patients, caregivers) to identify real‑world problems and translate them into actionable product and ML requirements.
• Design and execute evaluation frameworks to ensure high reliability, regulatory compliance, and adoption of AI solutions in healthcare.
• Mentor and lead teams: supervise ML scientists and engineers, provide technical leadership, and ensure best practices in ML, product design, and usability.
• Maintain thought leadership: represent the organization at conferences, publish or present work, track emerging trends in health AI / LLMs and drive innovation.

• Minimum of 10 years of experience in healthcare AI/ML with demonstrated expertise in deep learning, large language models (LLMs), or foundation models in the healthcare domain.
• Proven track record of leading machine learning projects and taking AI systems from research through production deployment and adoption.
• Demonstrated experience coordinating across multiple functional areas (data science, clinical informatics, engineering) to deliver complex AI products.
• MS in Computer Science, or equivalent experience.

• Advanced degree (e.g., M.S., Ph.D.) in Computer Science.
• Experience working with electronic health record (EHR) systems and clinical natural language processing (NLP) applications.
• Track record of developing and deploying foundational LLMs/AI models in consumer settings.
• Experience designing and conducting evaluation.
• Familiarity with product development, regulation, and privacy considerations, in the health/life sciences field.
• Ability to thrive in fast‑paced environment, deal with uncertainty, and adapt to new and changing requirements.
• Proven track record of contributing to diverse teams in a collaborative environment.
• A passion for building outstanding and innovative products. This position involves a wide variety of interdisciplinary skills.

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $212,000 and $386,300, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder…