Apple is looking to define the next generation of personalization in the era of Generative AI, balancing state-of-the-art user experiences with user privacy. The role involves architecting how data is managed and learned from, setting standards for privacy and compliance.
Requirements
- Familiarity with building or integrating agentic systems and Large Language Models (LLMs).
- Experience with MLOps best practices for model deployment, monitoring, and governance in a regulated environment.
- A strong background in software engineering, with proficiency in languages like Python, Scala, or Java.
- Deep experience and passion for privacy-preserving techniques (e.g., Differential Privacy, Federated Learning, k-Anonymity) and their practical application.
- Expertise in designing and building distributed data processing systems at petabyte scale using technologies like Spark, Flink, Beam, or similar frameworks.
- Demonstrated experience thinking critically about data architecture, including data ontology, data security models, and data portability challenges.
Responsibilities
- Design, build, and optimize robust data processing pipelines that handle petabytes of data efficiently, reliably, and with privacy at their core.
- Research, prototype, and deploy innovative solutions for privacy in a Gen-AI world. This includes thinking through everything from on-device intelligence to novel data anonymization and compliance verification techniques.
- Design and develop frameworks for agentic AI systems, ensuring they can operate effectively and autonomously within strict privacy and compliance boundaries.
- Go beyond implementation to think strategically about our data ecosystem. You will lead efforts in defining data ontology, ensuring data portability, and embedding world-class data security principles into every system we build.
- Collaborate closely with legal, policy, and product teams to translate complex global regulations (like GDPR, CCPA, and others) into concrete engineering solutions, ensuring our systems are compliant by design.
- Act as a thought leader within the organization, driving the technical vision for how we balance personalization and privacy in our most important products.
Other
- A proven track record of shipping complex, large-scale machine learning systems to production.
- 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.
