Staff Software Engineer - AI Governance, Apple Data Platform

Apple is seeking a Staff Software Engineer to lead their AI Governance initiatives within the Apple Data Platform team. This role represents a unique opportunity to shape the future of ethical AI at one of the world's most influential technology companies. The position involves leading a multidisciplinary team of software engineers dedicated to architecting next-generation AI governance solutions. You'll be responsible for developing scalable systems that manage the entire machine learning lifecycle while ensuring compliance with privacy and security standards.

The ideal candidate will bring 8+ years of experience in data and AI governance software development, combined with a deep understanding of privacy regulations such as GDPR and CCPA. You'll work at the intersection of technical innovation and compliance, ensuring that Apple's AI technologies are responsibly managed throughout their lifecycle. This role requires both technical expertise and leadership skills, as you'll be collaborating with diverse teams including legal, privacy, compliance, and data engineering.

At Apple, you'll be part of a company that values innovation while maintaining the highest standards of data privacy and security. The compensation package includes a competitive base salary range of $166,600 to $296,300, plus additional benefits such as stock options, comprehensive healthcare, and educational support. This is an opportunity to make a significant impact on how one of the world's largest technology companies approaches AI governance and ethics.

The role offers the chance to work on cutting-edge AI governance challenges while ensuring that Apple's AI initiatives set the benchmark for privacy, compliance, and security. You'll be instrumental in designing and implementing robust solutions that ensure the ethical, secure, and compliant use of AI systems and data assets. If you're passionate about building robust, ethical AI governance solutions and have the vision to tackle complex questions behind AI data collection, usage, and compliance, this role presents an exceptional opportunity to shape the future of responsible AI development.