Apple delivers the most popular cameras in the world. Each product release provides breakthroughs in photography and stunning features customers love. Many of these impressive features utilize machine learning algorithms. As ML algorithms are applied, the connection between measurements of camera physical performance and the end user application impact becomes increasingly complex. Your work will innovate on big data engineering tools, apply data science, and develop large-scale simulations to provide correlations between camera products and their uses.
In this critical product engineering role, you will drive data-driven approaches to camera technology simulation, design and manufacturing. Using your knowledge of statistical modeling, CV/ML, and data engineering, you'll help optimize how we develop and produce camera systems through data insights.
You'll build and implement simulation frameworks and data pipelines to capture metrics across the product lifecycle - from component testing through system integration. By developing effective platforms that connect simulation, training, and manufacturing data across build stages, you'll provide valuable visibility into performance factors and quality indicators.
You'll create powerful data exploration tools that help engineering teams analyze datasets, understand key relationships, and improve camera engineering. Your work will contribute to product quality, manufacturing efficiency, and the overall imaging experience for our customers.