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Apple Camera Machine Learning - Data Scientist United States, West Virginia 698101808
09.09.2025
- 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.
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