Camera Data Engineer

15 Hours ago • All levels • Data Analysis • $135,400 PA - $250,600 PA

Job Summary

Job Description

Apple delivers popular cameras with breakthroughs in photography and stunning features that utilize machine learning algorithms. This role involves innovating on big data engineering tools, applying data science, and developing large-scale simulations to correlate camera products with their uses. You will drive data-driven approaches to camera technology simulation, design, and manufacturing, optimizing development and production through data insights. Responsibilities include building and implementing simulation frameworks and data pipelines, creating platforms to connect simulation, training, and manufacturing data, and developing data exploration tools for engineering teams to analyze datasets and improve camera engineering, ultimately contributing to product quality, manufacturing efficiency, and the overall imaging experience.
Must have:
  • Statistical modeling knowledge
  • Computer Vision/Machine Learning expertise
  • Data engineering skills
  • Build simulation frameworks
  • Develop data pipelines
  • Create data exploration tools

Job Details

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.

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About The Company

Cupertino, California, United States (On-Site)

Cupertino, California, United States (On-Site)

Cupertino, California, United States (On-Site)

San Diego, California, United States (On-Site)

Los Angeles, California, United States (On-Site)

Cupertino, California, United States (On-Site)

Cupertino, California, United States (On-Site)

Cupertino, California, United States (On-Site)

Cupertino, California, United States (On-Site)

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