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Image Data Analyst Jobs in California (NOW HIRING)

As an Image Processing Engineer, you will help to take raw data off our camera sensors, and clean ... In this role you will help to analyze raw sensor data, identify issues, and propose algorithms to ...

As an Image Processing Engineer, you will help to take raw data off our camera sensors, and clean ... In this role you will help to analyze raw sensor data, identify issues, and propose algorithms to ...

Staff Scientist

Pasadena, CA · On-site

$59K - $85K/yr

Experience in Machine Learning analysis of complex image data sets. * Experience with spaceborne and ground-based astronomical imaging data sets and approaches. Required Documents * Resume * Cover ...

Chief Systems Engineer

Cypress, CA · On-site

$150K - $233K/yr

Conduct spectral measurement and image data processing, including data analysis and reporting * Build and maintain MATLAB scripts to automate analysis and improve test efficiency * Troubleshoot test ...

Staff Data Engineer

Fremont, CA · On-site +1

$112K - $161K/yr

Design and implement solutions for storing, visualizing, and analyzing metrology and image-based inspection data. * Apply software engineering best practices including version control, testing ...

... and image data. In the Dou Lab we use advanced data science methods, including artificial ... Will keep appropriate experimental records and documentation and analyze the results with the ...

Independently lead projects to conceive, develop, and implement AI/ML approaches to extract novel insights from large-scale microscopy image data sets * Perform analysis of neural networks, propose ...

Independently lead projects to conceive, develop, and implement AI/ML approaches to extract novel insights from large-scale microscopy image data sets * Perform analysis of neural networks, propose ...

Showing results 21-40

Image Data Analyst information

What is an image data analyst?

Image Data Analysts are professionals who specialize in processing, interpreting, and extracting meaningful information from digital images using analytical and computational techniques. They often work with large datasets of images in fields such as healthcare, remote sensing, manufacturing, and scientific research. Their responsibilities include cleaning image data, applying algorithms to detect patterns or anomalies, and collaborating with teams to derive insights that support decision-making or innovation. Proficiency in programming, image processing tools, and statistical analysis is typically required for this role.

How does an image data analyst typically collaborate with data scientists and software engineers on projects?

Image Data Analysts often work closely with data scientists to preprocess, annotate, and interpret visual datasets, ensuring data quality and relevance for model training. They also partner with software engineers to develop and optimize pipelines for image data ingestion, transformation, and storage. Effective communication and teamwork are vital, as analysts must clearly convey insights or issues to both technical and non-technical stakeholders, contributing to a seamless workflow and successful project outcomes.

What are the key skills and qualifications needed to thrive as an image data analyst, and why are they important?

To thrive as an Image Data Analyst, you need a solid background in statistics, computer vision, and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with technical tools such as Python, MATLAB, TensorFlow, and image processing libraries, along with experience using machine learning frameworks, is usually required. Attention to detail, critical thinking, and strong problem-solving skills are essential soft skills that help interpret complex image data and communicate findings effectively. These skills are crucial for accurately extracting insights from visual data and supporting data-driven decision-making across various industries.

What is the difference between Image Data Analyst vs Data Scientist?

AspectImage Data AnalystData Scientist
Required CredentialsBachelor's in Data Analysis, Computer Science, or related field; familiarity with image processing toolsBachelor's or higher in Data Science, Computer Science, or related; often includes programming and statistical skills
Work EnvironmentTech companies, research labs, media, and marketing firms focusing on visual dataVarious industries including tech, finance, healthcare, and research
Employer & Industry UsageUsed in industries analyzing visual content, such as advertising, media, and AI developmentApplied across multiple sectors for data analysis, predictive modeling, and machine learning

While both roles involve data analysis, Image Data Analysts specialize in visual and image-specific data, focusing on image processing and interpretation. Data Scientists have broader responsibilities, including developing models and algorithms across various data types. The roles often overlap in skills like data handling and programming but differ in their focus areas and industry applications.

Infographic showing various Image Data Analyst job openings in California as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Camera Image Processing Engineer

Cupertino, CA • On-site

Apple Inc.
Computer and Electronic Product Manufacturing • 10K+ employees

$150K - $277K/yr

Other

Medical, Dental, Retirement

Re-posted 4 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

Cupertino, California, United States Software and Services

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).

Responsibilities
  • Work with early-phase hardware prototypes to gather sensor information.
  • Analyse sensor data from camera modules.
  • Develop algorithms to address any image artifacts coming from hardware deficiencies.
  • Implement algorithms on-device to run efficiently on the GPU.
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).

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.

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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