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# Machine Learning Engineer

- **Company:** Apple Inc.
- **Location:** Sunnyvale, CA, United States
- **Experience:** Experienced
- **Salary:** $147,400.0 - $272,100.0
- **Contract:** Permanent contract
- **Skills:** 3D Rendering, Apple Products, Artificial Neural Networks, Computer Vision, Computer Engineering, Python (Programming Language), Machine Learning, Sensor Fusion, Signal Processing, Pytorch, Deep Learning, Generative AI, Data Analytics, Machine Learning Operations, Software Coding
- **Published:** May 22, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=66d8769b4b02b8d4

## About the Role

Do you have experience in Software coding?, Do you have a Bachelor's degree in engineering?, MS/PhD in computer vision, electrical, optical or computer engineering or related fields.

Experience or strong personal curiosity with designing imaging and sensing systems.

Strong independent problem-solving and communication skills.

Solid understanding of machine learning, deep learning fundamentals and optimizations; practical expertise in designing, training and improving deep neural networks.

Experience with cutting edge computer vision and machine learning research trends and models.

Experience with two or more of the following: ISP (image signal processing), 3A (AE, AF, AWB), diffusion models, multi-modal, generative AI, sensor fusion, sensor physics, differentiable rendering, 3D rendering.

Minimum Qualifications

BS in electrical, optical or computer engineering/science, and a minimum of 3 years relevant industry experience

Experience with software coding in Python.

Experience with one of the following: machine learning/deep learning systems, computer vision, graphics, computational imaging applications.

Experience with Pytorch.

## Description

In this role, you will innovate foundational machine learning algorithms for computational photography and computer vision, to research, design and qualify novel cameras and sensors for future Apple products, in collaboration with a wide spectrum of top engineers across Apple.","responsibilities":"Design, train and tune machine learning algorithms, support camera architects to drive innovative solutions for imaging and sensing challenges, and provide data-driven feedback for future camera architectures across a wide spectrum of Apple products.

Work closely with cross functional teams to build computational imaging and machine learning prototypes for future Apple products that enable novel photography experiences.

Build differentiable simulation and physics-informed machine learning pipelines to analyze and improve cameras and sensors.

Ground the exploration via validated simulation and metrology results to avoid machine learning domain gaps and ensure production feasibility.


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