The Staff Data Science Engineer will join the Siri Attention and Invocation team at Apple, focusing on enhancing the intelligence of Siri and Apple products for users. This role involves driving strategic data science initiatives and collaborating on groundbreaking technology that improves human-computer interaction. The team aims to tackle real-world challenges through innovation and user-centered systems. The ideal candidate will leverage their expertise in data science and machine learning to make a significant impact on millions of customers.

• MS or PhD in Computer Science, Statistics, Mathematics, or a related field or equivalent experience
• 5+ years of experience in data science, machine learning, or related fields
• Expert proficiency in Python and/or R
• Deep understanding of machine learning algorithms and statistical methods
• Strong SQL skills and experience with big data technologies such as Spark or Hadoop
• Proficiency with cloud platforms like AWS, GCP, or Azure
• Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
• Familiarity with workflow orchestrators like Airflow or Kubeflow
• Experience deploying models to production environments

• Drive strategic data science initiatives across the organization
• Collaborate with team members to deliver innovative technology solutions
• Lead technical projects and mentor junior team members
• Explain complex technical concepts to non-technical stakeholders
• Utilize machine learning algorithms to improve user experiences

• 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.