The Hardware Acoustic organization at Apple is seeking a Data Scientist/Engineer to join their Machine Learning Data team. This role focuses on building robust data infrastructure and pipelines to support machine learning models for acoustic applications. The team works with complex datasets to ensure quality and accessibility for ML scientists and engineers. The position requires collaboration with various experts to deliver impactful data-driven solutions.

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, Data Science, or a related quantitative field.
• 3+ years of professional experience in data engineering, data science, or machine learning engineering roles.
• Expert proficiency in Python for data manipulation, scripting, and automation.
• Strong SQL skills for complex data querying, analysis, and database management.
• Experience with distributed data processing frameworks such as Apache Spark or Hadoop.
• Solid understanding of data warehousing concepts, data modeling, and ETL/ELT principles.
• Experience with version control systems like Git.
• Experience working with acoustic data, audio signal processing, or sensor data.
• Familiarity with machine learning concepts and experience using ML libraries such as scikit-learn, TensorFlow, or PyTorch.
• Experience with MLOps principles and practices for managing the ML lifecycle.
• Knowledge of data visualization tools such as Tableau, Power BI, matplotlib, or seaborn.
• Experience with real-time data processing or streaming technologies.
• Excellent problem-solving, analytical, and communication skills.
• Familiarity with web front/back end.
• Familiarity with large-scale data platforms and services.

• Design, develop, and maintain scalable data pipelines.
• Ensure data quality and prepare complex datasets for machine learning models.
• Collaborate closely with ML engineers, acoustic scientists, and hardware engineers to understand data needs.
• Deliver impactful, data-driven solutions to enhance Apple's hardware acoustic performance.

• 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.