Apple is facing a challenge in incorporating perception and product decision-making into the growing data volumes across camera simulations, performance calibrations, measurement results, and their correlations to continue delivering amazing experiences for customers.
Requirements
- Experience in data analysis and hardware performance metrics
- Experience in data visualization techniques or dashboard creation
- Experience coding in Python
- Experience with ML development for image science applications, PCA, predictions, and trends
- Experience developing and/or using large-scale deployed data pipelines
- Experience in applied computer vision methods
- Experience in cloud engineering tools such as AWS, Snowflake, or similar
Responsibilities
- applied data science, including machine learning on high-volume product performance data with innovations in predictions and anomaly detections, multi-modal correlations, direct image analysis, and data visualizations
- develop and deploy tools for ongoing analysis, discovery, and detecting performance anomalies or artifacts in camera products and opportunities for design and product performance improvements
- define further required features and performance specifications, providing direction for development teams
- apply data science, meaningful insights, and related data innovations directly to shipping camera products and teams
Other
- BS in physics, computer science, optics, image science, electrical engineering, data engineering, data science, or related fields
- MS or PhD in physics, computer science, optics, image science, electrical engineering, data engineering, data science, or related fields
- Experience presenting data to Sr. management
