This role pays more than
63%
of similar roles. Most pay
$187,850–$246,300
— the shaded band above.
At the midpoint, this role pays about
$231k
versus about
$217k
for comparable roles.
Based on 240 similar postings.
Employer
About Apple Inc
Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software
Apple Inc currently has
3513 open roles
on FindRole.
Listed pay typically runs
$165,800–$277,600
across 2730 roles with salary data.
As a Camera Machine Learning Engineer within the Camera Hardware Engineering team, you will lead the research, design, development, test, and qualification of camera hardware for Apple products. You will collaborate with hardware, software, and image processing specialists to develop cutting-edge technologies including computational photography, scene understanding, and image or video processing. Your daily work involves designing and implementing machine learning algorithms, curating large-scale datasets for model training, and developing prototypes for rigorous testing and evaluation. The role requires proficiency in Python, PyTorch, and deep learning frameworks, alongside expertise in computer vision principles such as object recognition, segmentation, and inpainting. You will apply advanced methods to optimize system architectures and improve image quality while working with camera components, the ISP pipeline, and megapixel CMOS image sensor technologies to solve complex hardware design challenges.
Research, design, and implement machine learning algorithms for image and video processing.
Develop computational photography features and scene understanding models.
Curate large-scale image and video datasets for model training and validation.
Perform data analysis and preprocessing to improve machine learning model performance.
Build prototypes of ML algorithms and evaluate them through rigorous testing.
Analyze user feedback to drive continuous improvement of camera technologies.
Benchmark and characterize Apple camera products and hardware components.
Apply advanced ML methods to optimize system architectures and image quality.
What we're looking for
Bachelor's degree in Computer Science, Electrical Engineering, Physics, Optics, or a related field and 10 years of relevant experience.
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 (preferred).
Experience applying deep learning to tasks like object recognition, segmentation, inpainting, and anomaly detection (preferred).
Experience with generative AI, reinforcement learning, image quality metrics, and the camera ISP pipeline (preferred).
Experience with megapixel CMOS image sensor technology, lens selection, and qualification (preferred).
Metal
Swift
Objective-C
Image Processing
Machine Learning
Apple Neural Engine (ANE)
Computer Vision
Graphics Programming
Algorithm Development
GenAI
High-throughput Compute
Machine Learning
Computer Vision
Generative AI
Python
PyTorch
C++
Diffusion Models
3D Reconstruction
Neural Radiance Fields
3D Gaussian Splatting
Differentiable Rendering
Distributed Training
On-device ML