The Synthetic Data Engineer will play a crucial role in developing next-generation simulation technology that supports various AI and machine learning initiatives at Apple. This position involves working on ambitious projects that turn innovative ideas into production tools and datasets for new Apple products. The engineer will collaborate with a diverse team of engineers, artists, and researchers to create scalable pipelines and high-quality synthetic data. This role emphasizes both practical engineering skills and creative problem-solving.

• Master's degree in Computer Science or a related field, or equivalent practical experience.
• Strong programming skills in Python with solid software engineering fundamentals.
• Experience with 3D graphics or game engines, including rendering, animation, and content pipelines.
• Familiarity with machine learning workflows, especially in perception tasks and generative models.
• Programming experience in C++.
• Experience with real-time simulation engines such as Unreal, Unity, or custom engines.
• Familiarity with modern 3D content standards like USD or MaterialX.

• Develop simulation technology to generate synthetic data for AI/ML projects.
• Extend existing simulation frameworks and experiment with new approaches.
• Collaborate closely with engineers, technical artists, and research teams.
• Deliver scalable pipelines and compelling synthetic data.
• Influence dataset quality and model performance across multiple product areas.

• 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.