This role at Apple involves building the next generation of a platform that enables AI and ML-powered applications. The position requires collaboration with ML engineers and data scientists to optimize platform utilization. The focus is on driving engineering excellence and shaping the future roadmap of the platform. The role is based in Austin, Texas, and emphasizes the importance of innovation and diversity in the workplace.

• Master's degree or foreign equivalent in Biomedical Informatics, Computer Science, or a related field.
• 5 years of experience in applying natural language processing, machine learning, and deep learning algorithms.
• 5 years of experience utilizing Python and common data science packages such as PyTorch and TensorFlow.
• 5 years of experience using statistical methods for experimental design and predictive modeling.
• 5 years of experience with SQL and relational databases for data analysis.
• 5 years of experience in data visualization with Tableau.

• Build and implement new features for the platform to meet the growing demand for AI models.
• Collaborate closely with ML engineers and data scientists to enhance platform efficiency.
• Ensure the platform can scale and reliably serve customers.
• Help shape the future and roadmap of the platform while driving engineering excellence.
• Incorporate the latest developments in the ML space into the platform.

• 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.