Your work shows your enthusiasm for the simulation, design, and the engineering phase of Apple camera products and fuels our data-driven decisions.
Your work includes: 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.
Your work will continue to 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.
With your experience applying data to camera products, the data engineering platform and its analysis tools will define further required features and performance specifications, providing direction for its development teams.
BS in physics, computer science, optics, image science, electrical engineering, data engineering, data science, or related fields and a minimum 10 years of relevant industry experience
Experience in data analysis and hardware performance metrics
Experience in data visualization techniques or dashboard creation
Experience coding in Python
MS or PhD in physics, computer science, optics, image science, electrical engineering, data engineering, data science, or related fields
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
Experience developing and /or using modern database technologies, including PostgreSQL, MongoDB
Experience in optical sensing concepts and understanding of related performance metrics
Experience with presenting data to Sr. management
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.