Job Description

Help us transform how machine learning and artificial intelligence systems are evaluated for quality and safety. You will lead teams building next-generation evaluation systems that combine human and machine intelligence to assess AI models at scale. We are looking for a research manager with deep expertise in applied AI/ML who will drive innovation in automated evaluation, particularly for language models and generative AI systems.

Description

This role leads multifunctional teams developing groundbreaking approaches to AI assessment, including automated evaluation systems. You'll work with ML researchers, engineers, and domain experts to pioneer new methods for scalable, high-quality AI evaluation.



We are looking for an outstanding, hands-on manager who will thrive in a fast-paced environment. We believe the most exciting problems in machine learning research arise at the intersection with real-world use cases, and this is also where the most critical breakthroughs come from.



KEY RESPONSIBILITIES:



Lead R&D in automated AI evaluation, including development of LLM-based assessment systems that can reliably evaluate model outputs



Drive research and implementation of novel approaches to measure and improve AI system quality, safety, and alignment



Build and scale evaluation infrastructure that combines human expertise with ML-powered automation



Work with cross-functional partners to integrate evaluation systems into production workflows

Preferred Qualifications

Expertise in full-stack LLM development and deployment


Deep experience with LLM evaluation and automated assessments



Track record scaling ML systems in production



Strong product intuition and ability to identify high-impact opportunities



Excellence in building and leading high-performing technical teams

Minimum Qualifications

Master's degree with 4+ years of industry experience, or PhD with 3+ years, or equivalent work experience



3+ years experience developing ML evaluation systems



2+ years leading technical teams in ML/AI



Strong technical leadership and communication skills



Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .