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Image Segmentation Jobs in California (NOW HIRING)

Cesna Group

Junior Computer Vision Engineer

San Diego, CA · On-site

$100K - $200K/yr

... Image Processing * - Denoising / Image Domain Transformation / Smoothing & Sharpening * -Segmentation * - Semantic Segmentation / Instance Segmentation * -Various Region Detection on Images ...

OMNIVISION

Product Marketing Engineer

Santa Clara, CA · On-site

$110K - $140K/yr

Description OMNIVISION is looking for a Product Marketing Engineer who will define CMOS image ... Security Segment Sensor Product Definition * Security System Solutions Product Definition * Key ...

OMNIVISION

Product Marketing Engineer

Santa Clara, CA · On-site

OMNIVISION is looking for a Product Marketing Engineer who will define CMOS image sensor products ... Security Segment Sensor Product Definition * Security System Solutions Product Definition * Key ...

OMNIVISION

Product Marketing Engineer

Santa Clara, CA · On-site

$110K - $140K/yr

OMNIVISION is looking for a Product Marketing Engineer who will define CMOS image sensor products ... Security Segment Sensor Product Definition * Security System Solutions Product Definition * Key ...

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All JobsImage Segmentation JobsImage Segmentation Jobs in California

Image Segmentation information

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 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 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 most commonly searched types of Image Segmentation jobs in California?

The most popular types of Image Segmentation jobs in California are:

What cities in California are hiring for Image Segmentation jobs?

Cities in California with the most Image Segmentation job openings:

Image Segmentation jobs near you
Infographic showing various Image Segmentation job openings in California as of August 2026, with employment types broken down into 76% Full Time, 17% Part Time, and 7% Contract. Highlights an 100% In-person job distribution.

Junior Computer Vision Engineer

Cesna Recruitment

San Diego, CA

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago

Job description

[Position]

Computer Vision Engineer 

[About Our Client]

Leader in 3D measurement and inspection technology used in the production of micro-electronics assemblies. San Diego Office, Research & Development hub for artificial intelligence and deep learning technologies.

[Job Summary]

- To research and develop scalable computer vision and machine learning solutions to a hard problem

- To investigate and solve exciting and difficult challenges of the real-world problems in image recognition/classification, object detection/recognition, 3D reconstruction and deep learning

- To design, implement, and deploy full-stack computer vision and machine learning solutions

[Job Description]

[Detailed Job Descriptions]

- Deep Learning Network Training and Deployment to wide range of CV application

- Image Enhancement

- Ghost removal / De-blurring / Contrast Enhancement

-Color Image Processing

- Denoising / Image Domain Transformation / Smoothing & Sharpening

-Segmentation

- Semantic Segmentation / Instance Segmentation

-Various Region Detection on Images

- Saliency / Anomaly

- Shape matching / Blob from multi-modal data / Model Fitting

-Classification

- Small Data driven / Big Data driven

-3D / Depth image processing development

- Transformations / Denoising (Artifact, ...) / Reconstruction / Ensemble

- Stereo Vision

- Camera Calibration / Depth Estimation

Requirements

[Qualifications]

[Education and Experience]

- Required: Master's degree in Computer Science or Electrical Engineering plus 2 or more years of relevant experience

- Preferred #1: Master's degree in Computer Science or Electrical Engineering plus 5 or more years of relevant experience

- Preferred #2: Doctorate in Computer Science or Electrical Engineering plus 3 or more years of relevant experience

[Technical Requirements] (At least, one of the below is required.)

- Experience to Research and Develop to Classical Computer Vision Algorithm

- Experience to Research and Develop Machine Learning

- Experience to C++ implementation of Computer Vision

[Skills to programming language ](At least, one of the below is required.)

- C++ / Python / CUDA

Benefits

- Health/Dental/Vision/Life Insurance at NO employee premium (including dependent coverage)

- 401(k) retirement plan (Immediately 100% vested)

- Generous PTO and paid holidays

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