This position involves working at the intersection of Software Engineering and Machine Learning Research to build foundation models for Apple. The team focuses on the entire training lifecycle, developing systems that ensure high-quality data for model training. The role emphasizes designing data acquisition, processing, and repository management systems. Candidates will collaborate with Research Scientists to translate theoretical insights into practical engineering solutions.

• Bachelor's degree in Computer Science, Electrical Engineering, or Mathematics.
• 4+ years of software engineering experience with a focus on Data Infrastructure, Distributed Systems, or AI/ML Engineering.
• Expert fluency in Python and strong competence in system languages such as C++.
• Extensive experience architecting solutions on major public cloud platforms like GCP.
• Deep experience profiling and optimizing high-throughput data systems.
• Experience working closely with ML research organizations.

• Design systems for data acquisition, processing, and repository management for Large Model training.
• Lead technical efforts to enable active, quality-driven data curation.
• Implement filtering, deduping, synthetic data generation, and data mixing.
• Ensure models are trained on the highest-quality information available.
• Collaborate with Research Scientists to transform theoretical observations into scalable engineering solutions.

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.