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Image Processing Scientist Jobs in California (NOW HIRING)

As an Image Processing Engineer, you will help to take raw data off our camera sensors, and clean ... D. in Imaging, Color, Vision, Computer, Optics Science, EE, or equivalent with 3+ years of ...

As an Image Processing Engineer, you will help to take raw data off our camera sensors, and clean ... D. in Imaging, Color, Vision, Computer, Optics Science, EE, or equivalent with 3+ years of ...

As an Image Processing Engineer, you will help to take raw data off our camera sensors, and clean ... D. in Imaging, Color, Vision, Computer, Optics Science, EE, or equivalent with 3+ years of ...

As an Image Processing Engineer, you will help to take raw data off our camera sensors, and clean ... D. in Imaging, Color, Vision, Computer, Optics Science, EE, or equivalent with 3+ years of ...

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Image Processing Scientist information

What does an image processing scientist do?

An Image Processing Scientist develops and applies algorithms to analyze, enhance, and manipulate digital images. They work with techniques such as filtering, pattern recognition, and machine learning to extract meaningful information from images. Their role is crucial in industries like medical imaging, autonomous systems, remote sensing, and computer vision. They often collaborate with software engineers and researchers to implement and optimize image processing solutions.

What are the key skills and qualifications needed to thrive as an image processing scientist?

To thrive as an Image Processing Scientist, you need a solid background in mathematics, computer vision, machine learning, and programming, typically supported by an advanced degree in a related field. Familiarity with technical tools like Python, MATLAB, OpenCV, and deep learning frameworks, as well as relevant certifications, is highly valued. Strong analytical thinking, problem-solving skills, and effective communication are important soft skills for this role. These skills are essential to develop novel solutions, collaborate with multidisciplinary teams, and translate complex data into impactful visual insights.

What are the main challenges faced by image processing scientists in their daily work?

Image Processing Scientists often encounter challenges such as working with large, complex datasets, optimizing algorithms for speed and accuracy, and adapting solutions to different hardware environments. Staying updated with rapidly evolving research and technologies in machine learning and computer vision can also be demanding. The role usually involves balancing independent research with collaboration across data science, engineering, and product teams. Overcoming these challenges helps scientists deliver robust, scalable solutions that meet real-world application needs.

What are the most commonly searched types of Image Processing Scientist jobs in California?

The most popular types of Image Processing Scientist jobs in California are:

What are popular job titles related to Image Processing Scientist jobs in California?

For Image Processing Scientist jobs in California, the most frequently searched job titles are:

What job categories do people searching Image Processing Scientist jobs in California look for?

The top searched job categories for Image Processing Scientist jobs in California are:

Infographic showing various Image Processing Scientist job openings in California as of August 2026, with employment types broken down into 70% Full Time, 10% Part Time, and 20% Contract. Highlights an 94% In-person, and 6% Remote job distribution.

Camera Image Processing Engineer

Apple

Cupertino, CA • On-site

Full-time

Re-posted 5 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 684 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

iPhone is the most popular camera in the world, with billions of photos taken every year. The seamless integration of software and hardware has led to camera features like the Photonic Engine, Portrait mode, and Super-high-resolution photos which deliver magical experiences that surprise and delight our customers!
The Camera Technologies & Systems team in the Camera & Photos org delivers amazing quality photos and videos by combining state of the art computer vision, image processing, and machine learning. As an Image Processing Engineer, you will help to take raw data off our camera sensors, and clean up the image, giving our industrial design teams more freedom when designing our hardware, confident that your work will still give a high quality image in the end.
Description
We are looking for candidates with some basic image processing experience, and some familiarity with writing code on GPUs. In this role you will help to analyze raw sensor data, identify issues, and propose algorithms to handle any problems. You can be called upon to fix problems arising from sensors, optics or control systems (such as auto focus and optical image stabilization). As such we do not expect you to be an expert on these things - there are too many to know them all! But we are looking for candidates with a demonstrated capability for creative thinking and quick learning. We increasingly use GenAI tools to help accelerate coding, but every change goes through a human review layer, so strong engineering judgment matters as much as raw output. Our team also designs traditional ML algorithms that run directly on the Apple Neural Engine (ANE).
Minimum Qualifications
Strong programming skills, particularly on Apple platforms - notably Swift, Metal, and Objective-C.
Some experience with image processing algorithms implemented on GPUs.
Graphics programming experience - comfortable working directly with pixels.
Exposure to machine learning, particularly as applied to image processing.
M.S. or Ph.D. in Imaging, Color, Vision, Computer, Optics Science, EE, or equivalent with 3+ years of experience in a related field.
Preferred Qualifications
An understanding of photography and what makes an image look good or bad. Photography in challenging conditions, such as low-light or high movement is particularly useful.
Experience with an existing camera image processing pipeline.
Strong experience with optimizing GPU workloads to run efficiently.
Experience with performance-oriented, high-throughput compute.
A demonstrated track record of algorithm development - solving novel problems rather than applying known recipes.
Experience designing or deploying traditional ML algorithms that run on the Apple Neural Engine (ANE).

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976