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Image Segmentation Jobs (NOW HIRING)

Scientist II

Ridgefield, CT · On-site

$35 - $40.05/hr

Apply classical image processing and machine learning techniques for image segmentation, feature extraction, classification, and quantitative analysis. * Integrate and optimize workflows across ...

Scientist II

Ridgefield, CT · On-site

$35 - $40.05/hr

Apply classical image processing and machine learning techniques for image segmentation, feature extraction, classification, and quantitative analysis. * Integrate and optimize workflows across ...

Scientist II

Ridgefield, CT · On-site

$35 - $40.05/hr

Apply classical image processing and machine learning techniques for image segmentation, feature extraction, classification, and quantitative analysis. * Integrate and optimize workflows across ...

Design custom image segmentation and stitching algorithm, improving defect localization and real-time quality control. Build GUI-based visualization software via PyQt for interactive defect analysis ...

Design custom image segmentation and stitching algorithm, improving defect localization and real-time quality control. Build GUI-based visualization software via PyQt for interactive defect analysis ...

Design custom image segmentation and stitching algorithm, improving defect localization and real-time quality control. Build GUI-based visualization software via PyQt for interactive defect analysis ...

Showing results 21-40

Image Segmentation information

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$18

$43

$70

How much do image segmentation jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for image segmentation in the United States is $43.61, according to ZipRecruiter salary data. Most workers in this role earn between $33.89 and $50.72 per hour, depending on experience, location, and employer.

What is an image segmentation?

An Image Segmentation job involves developing algorithms and models to partition digital images into meaningful regions or objects. Professionals in this role often work with computer vision, deep learning, and artificial intelligence to improve image analysis. Tasks may include data annotation, training machine learning models, and optimizing segmentation accuracy for applications like medical imaging, autonomous vehicles, and industrial automation. Strong programming skills in Python and experience with frameworks like TensorFlow or OpenCV are typically required.

What are the key skills and qualifications needed to thrive in image segmentation, and why are they important?

To excel in Image Segmentation, you need a solid background in computer vision, machine learning, and data annotation, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, OpenCV, TensorFlow, and specialized annotation software is typically required. Attention to detail, collaborative mindset, and effective communication are important soft skills in this position. Mastering these abilities ensures precise segmentation work, efficient teamwork, and contributions to projects in fields such as healthcare, autonomous driving, and digital imaging.

What are the common challenges faced in an image segmentation role?

Professionals in image segmentation often encounter challenges such as dealing with low-quality or ambiguous images, managing large datasets, and ensuring consistency in labeling across various data sources. Staying up to date with rapidly evolving algorithms and tools in computer vision is also important for maintaining best practices. Effective communication with data scientists, engineers, and project managers is key for understanding project requirements and delivering high-quality segmentation results. Overcoming these challenges not only helps produce more accurate models but also contributes to personal skill growth and deeper team collaboration.

What cities are hiring for Image Segmentation jobs?

Cities with the most Image Segmentation job openings:

What are the most commonly searched types of Image Segmentation jobs?

The most popular types of Image Segmentation jobs are:

What states have the most Image Segmentation jobs?

States with the most job openings for Image Segmentation jobs include:

Infographic showing various Image Segmentation job openings in the United States as of August 2026, with employment types broken down into 67% Full Time, 22% Part Time, and 11% Contract. Highlights an 100% In-person job distribution, with an average salary of $90,701 per year, or $43.6 per hour.

Image Quality Validation Engineer - Camera Hardware

Apple

Cupertino, CA

$184K - $277K/yr

Full-time

Medical, Dental, Retirement

Re-posted 17 days ago


Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers


Job description

Do you love taking on big challenges that require exceptionally creative solutions? Do you deeply understand how an incredible camera experience should work? As part of the Camera Architecture, youʼll help design innovative technology that allows each generation of Apple products to produce photos even more incredible than the last! Youʼll collaborate with teams across Apple to explore, define and drive the development of next-generation camera.
Description
The Camera Hardware Engineering group is responsible for all research, design, development, test, and qualification of camera hardware for Apple products. This team is seeking an exceptional Camera Image Quality Validation Engineer with responsibilities for ongoing evaluation, benchmarking and characterization of Apple camera products.","responsibilities":"Work closely with cross functional team, support the entire development cycle of Apple cameras, from early prototype to product launch
Lead image quality validation at component and system levels
Comprehensively characterize and quantitatively assess camera performance and image quality
Feedback and contribute to refinement and improvement of camera design and process
Develop image processing algorithm for image quality metrics
Incubate new metrology for next-generation Apple products and support technology transfer from lab to production sites
Deliver executive level presentations of results
Preferred Qualifications
MS/PhD in EE, Optics, Color Science or equivalent and 5 or more years of relevant industry experience
Deep understanding of image quality metrics and evaluation methodology
Experience with deep learning for image segmentation, object recognition and abnormal detection
Experience with camera components and functions
Experience with camera ISP pipeline and 3A
Experience with megapixel CMOS image sensor technology, lens selection and qualification
Experience with objective camera bench testing and subjective image quality analysis
Minimum Qualifications
BS in EE, Optics, Color Science or equivalent
Experience with Matlab and/or Python programming skills
Experience with working in an optical lab
Experience with bench or tester automation of data acquisition
Pay & Benefits
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 $184,700 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.

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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