Ai Engineer • Mid-Level

Who you are

You have a strong background in AI evaluation methodologies and experience in health-related applications. Your expertise in statistical analysis allows you to derive actionable insights from complex datasets, ensuring the reliability of AI systems. You are proficient in Python and have a solid understanding of machine learning principles, enabling you to design comprehensive evaluation frameworks. You thrive in collaborative environments and are passionate about improving health and well-being through technology.

Desirable

Experience with human annotation frameworks and automated evaluation tools is a plus. Familiarity with Generative AI systems and their applications in health will set you apart. You are detail-oriented and possess strong analytical skills, allowing you to identify weaknesses in models and drive design decisions effectively.

What you'll do

In this role, you will design and implement evaluation frameworks for measuring model performance, including human annotation protocols and quality control mechanisms. You will apply statistical methods to extract meaningful signals from human-annotated datasets, driving improvements to models and evaluation methodologies. Your work will involve analyzing model behavior, identifying weaknesses, and conducting rigorous statistical analyses to ensure the reliability of both human and AI-based assessment systems. You will collaborate with cross-functional teams to create scalable evaluation pipelines that combine human insight with automated validation, directly impacting the quality and trustworthiness of AI features in health applications.

What we offer

Apple offers a dynamic work environment where innovation is at the forefront. You will have the opportunity to work on cutting-edge technologies that support users in living healthier lives. The company values diversity and inclusion, providing a supportive atmosphere for all employees. Competitive compensation and benefits are part of the package, along with opportunities for professional growth and development within the organization.