We are seeking a Machine Learning Engineer or Scientist to translate high-level goals into measurable requirements. The role involves proposing, implementing, and evaluating AI/ML technologies to enhance data quality and user-facing features. Collaboration with engineering teams and designers is essential to architect effective systems. The ideal candidate will thrive in a fast-paced environment and demonstrate ownership from concept to production.

• 5+ years of experience in building large-scale machine learning systems
• 2+ years of experience in generative AI models, computer vision, or knowledge graphs
• Experience working with large-scale and real-world datasets
• Strong programming skills and hands-on experience with machine learning tools such as PyTorch, TensorFlow, and Scikit-learn
• Strong knowledge of Spark or other big data technologies
• Familiarity with cloud platforms such as AWS, GCP, or Azure
• Masters or PhD degree in Machine Learning, Computer Science, Electrical/Computer Engineering, or related fields
• Experience shipping a complex AI system, including research and leveraging generative AI models
• Excellent written and oral communication skills

• Convert abstract goals into concrete, measurable requirements
• Propose, implement, evaluate, and ship AI/ML technologies
• Collaborate with engineering organizations and designers
• Develop innovative AI/ML solutions to enhance user experiences
• Take initiative and demonstrate ownership from concept to production
• Dive deep into data and build robust, real-world solutions
• Continuously improve processes and solutions in pursuit of excellence

• 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.