Job description

Are you passionate about building robust, ethical AI and data governance solutions from the ground up? Do you have the vision to tackle the complex challenges of AI data collection, usage, and regulatory compliance? If so, we want you on our team! In this role, you will lead a multidisciplinary team of software engineers to architect Apple's next-generation AI and data governance platforms. You will drive the development of scalable systems that manage the entire machine learning lifecycle - ensuring our AI initiatives set the benchmark for privacy, compliance, and security and are grounded in strong data governance principles. Join us and play a pivotal role in shaping the future of ethical, responsible AI at Apple. 8+ years experience in developing Data & AI governance software or integrating systems with governance systems. Experience working with large data collection and processing systems. Demonstrated proficiency in data management and building scalable systems that underpin AI applications. Strong understanding of privacy and regulatory requirements (e.g., GDPR, CCPA, DMA) and how they apply to Data Governance and AI systems. Bachelor's or Master's degree in Computer Science, Information Systems, or a related field. Proven ability to work effectively with diverse teams, including security, legal, privacy, compliance, and data engineering, to drive Data and AI governance initiatives. Experience in designing and implementing robust data governance frameworks, policies, and standards that ensure the ethical and secure deployment of AI technologies. A track record of identifying and mitigating risks in complex distributed data environments, with a focus on maintaining compliance in AI-driven projects.

Requirements

Must-haves

8+ years experience in developing Data & AI governance software or integrating systems with governance systems.
Experience working with large data collection and processing systems.
Demonstrated proficiency in data management and building scalable systems that underpin AI applications.
Strong understanding of privacy and regulatory requirements (e.g., GDPR, CCPA, DMA) and how they apply to Data Governance and AI systems.
Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
Proven ability to work effectively with diverse teams, including security, legal, privacy, compliance, and data engineering, to drive Data and AI governance initiatives.
Experience in designing and implementing robust data governance frameworks, policies, and standards that ensure the ethical and secure deployment of AI technologies.
A track record of identifying and mitigating risks in complex distributed data environments, with a focus on maintaining compliance in AI-driven projects.

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

aimachine learning

Platform: apple
Effort: medium

Benefits

Benefits detected in the listing.

Vision