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Camera Machine Learning Engineer

Apple· Camera Hardware Engineering
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Cupertino$150.4k - $225.3kfull-timePosted 3w ago

About the role

Machine Learning Engineer focused on camera hardware, exploring research, design, development, testing, and qualification of camera hardware for Apple products. Collaborative role with hardware, software, and image processing teams to advance camera technologies, image quality, and computational photography.

Responsibilities

  • ML Algorithms: Research, design, and implement machine learning algorithms for various camera tasks, including image and video processing, computational photography, and scene understanding.
  • Data-Driven Development: Collaborate with data collection teams to curate large-scale image and video datasets and perform data analysis and preprocessing to train and validate your ML models effectively.
  • Prototyping and Evaluation: Develop prototypes of ML algorithms and evaluate their performance through rigorous testing and user feedback. Your insights will drive continuous improvement.

Qualifications

  • Bachelor’s degree and a minimum 3 years experience in Computer Science, Electrical Engineering, Physics, Optics, or related field
  • Experience with Python programming and deep learning frameworks like PyTorch
  • Experience with machine learning and computer vision principles, and algorithms.
  • Experience with camera and/or image sensor technologies.
  • MS or Ph.D. in Machine Learning, EE, CS, Physics, Optics, or equivalent and 3+ years of experience in machine learning research or relevant industry experience
  • Experience with applying deep learning to various computer vision tasks, such as: Object recognition, Image segmentation, Inpainting, and Anomaly detection
  • Experience in applying generative AI and reinforcement learning techniques to enhance hardware design processes.
  • Experience with using advanced ML methods to optimize system architectures and improve image quality in the hardware design domain.
  • Experience with image quality metrics and evaluation methodology

Skills

Required:PythonPyTorch

Benefits

  • Comprehensive medical and dental coverage
  • retirement benefits
  • discounted products and free services
  • reimbursement for certain educational expenses including tuition
  • discretionary bonuses or commission payments (where eligible)
  • relocation assistance (where eligible)
  • stock programs including discretionary RSU awards and Employee Stock Purchase Plan
Last updated Oct 2, 2026. Interested? Apply on the company site.

About Apple

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

AirPods Max 2Apple ArcadeApple CardApple Fitness+Apple MusicApple TVApple TV+Apple Watch Series 11
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