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Image Processing Scientist Jobs in California (NOW HIRING)

... a focus on image processing, image enhancement, and Phenomap embeddings. * Data Pipeline ... Scientific Rigor & Leadership - Uphold scientific excellence through peer reviews, proper ...

Clinical Scientist

Palo Alto, CA · Hybrid

$134K - $155K/yr

Clinical Scientist Location: Palo Alto, CA As a Clinical Scientist, you will support the Clinical ... Basic understanding of MRI physics, signal acquisition, reconstruction and image processing ...

Clinical Scientist

Palo Alto, CA · Hybrid

$134K - $155K/yr

Clinical Scientist Location: Palo Alto, CA As a Clinical Scientist, you will support the Clinical ... Basic understanding of MRI physics, signal acquisition, reconstruction and image processing ...

Clinical Scientist

Palo Alto, CA · On-site +1

$134K - $155K/yr

Clinical Scientist Location:Palo Alto, CA As a Clinical Scientist, you will support the Clinical ... Basic understanding of MRI physics, signal acquisition, reconstruction and image processing ...

Sr. Staff Image Scientist

Santa Clara, CA · On-site

$170K - $200K/yr

Responsibilities: * Research new image and color processing or computer vision techniques and ... MS/PhD in Electrical Engineering or Computer Science with 10+ yrs of experience. * Familiar with ...

Responsibilities: * Research new image and color processing or computer vision techniques and ... MS/PhD in Electrical Engineering or Computer Science with 10+ yrs of experience. * Familiar with ...

Sr. Staff Image Scientist

Santa Clara, CA · On-site

$170K - $200K/yr

Research new image and color processing or computer vision techniques and technologies for digital camera systems * Design and develop new algorithms for image and color processing or computer vision

Showing results 41-60

Image Processing Scientist information

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 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 most commonly searched types of Image Processing Scientist jobs in California? The most popular types of Image Processing Scientist jobs in California 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 54% Full Time, 19% Part Time, and 27% Contract. Highlights an 86% In-person, and 14% Remote job distribution.

3D Reconstruction Scientist

Array Labs

Redwood City, CA • On-site

$150K - $300K/yr

Full-time

Re-posted 29 days ago


Job description

Array Labs is building a new way to understand the physical world.
Today, most geospatial systems are built around flat imagery, incomplete elevation models, slow refresh cycles, or narrow-area surveys. The world increasingly needs something better: accurate, frequently updated 3D information about the places, infrastructure, terrain, and activity that shape human decisions.
Array is building that system. We are developing a coordinated fleet of radar satellites designed to create high-resolution 3D data products of the Earth at unprecedented scale, speed, and reliability. Our technology is built to work across wide areas, through clouds, day and night, and to support both commercial and government customers operating in environments where timely physical-world understanding matters.
We design and build our satellites, radar payloads, sensing systems, and data products end-to-end. Our goal is to make 3D geospatial intelligence dramatically more accessible, useful, and operationally relevant for customers in mapping, infrastructure, disaster response, defense, intelligence, energy, telecommunications, mining, and other industries that depend on understanding the changing Earth.
About the Job
As a 3D Reconstruction Scientist on this team, you will develop and deploy algorithms that reconstruct 3D structure from distributed radar and optical sensors. You'll work on multi-view geometry, tomography, and large-scale inverse problems, and you'll be responsible for taking methods from prototype to production on real satellite data. The approaches you design will directly set the limits on the resolution, accuracy, and reliability of Array's 3D products.
As part of our quickly growing engineering team, you will play a critical role in the design of the world's most advanced radar satellite constellation-one that will significantly improve humanity's ability to rapidly and comprehensively understand our changing planet.
Responsibilities
  • Research, design, and implement tomographic algorithms for 3D image reconstruction utilizing complex phase-history data from radar and optical sensors
  • Develop autofocus techniques to sharpen images affected by inaccurate position knowledge of the sensor platform, and/or phase inaccuracies caused by various hardware imperfections in our distributed sensor system
  • Develop efficient data preprocessing and calibration techniques to enhance the quality and accuracy of 3D reconstructions
  • Optimize algorithms for near real-time production of 3D imagery in our cloud-based production pipeline
  • Collaborate with cross-functional teams to integrate 3D image reconstruction solutions into our products and services
  • Conduct thorough testing, validation, and performance evaluation of 3D image reconstruction algorithms to ensure they meet end-user expectations

Basic Qualifications
  • Bachelor's in Computer Science, Electrical Engineering, or a related field
  • 4+ years of experience in 3D image reconstruction, 3D computer vision, multi-view geometry or a related field
  • Excellent teamwork and communication skills
  • Learns new concepts rapidly, completely, and in a self-directed manner
  • High levels of self-motivation and personal accountability
  • Ability to work in a fast-paced environment under significant time constraints
  • Proficient in Python, MATLAB, or C/C++

Preferred Qualifications
  • Master's degree in Computer Science, Electrical Engineering, or a related field
  • 2+ years of experience deploying 3D image processing/generation algorithms into production pipelines
  • 2+ years of experience in one or more of the following areas:
    • signal processing for tomographic SAR and/or interferometric SAR
    • Depth estimation using stereo images, multi-view geometry, or optical flow
    • Generating 3D images from 2D sensors.
    • Estimation theoretic approaches to 3D localization
    • Ambiguity resolution for 3D localization
  • Experience adapting image processing algorithms for GPU clusters
  • Experience with stochastic and adaptive signal processing techniques
  • Experience extracting insights from 3D data products via AI/ML techniques
  • Experience creating 3D data products from geospatial data sets is a plus

ITAR Requirements:
  • To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.

Equal Opportunity Employer:
  • Array Labs is an Equal Opportunity Employer. Employment decisions are made on the basis of merit, competence, and job qualifications and will not be influenced in any manner by gender, color, race, ethnicity, national origin, sexual orientation, religion, age, gender identity, veteran status, disability status, marital status, mental or physical disability or any other legally protected status.

$150,000 - $300,000 a year
Interview Process
We will conduct interviews via Google Meet; the typical process takes around 2-4 weeks to complete from start to finish.
Hiring and Compensation Strategy
Our hiring and compensation strategy is simple:
1) find uncommonly good people
2) pay them uncommonly well
You can anticipate competitive pay, with high flexibility between salary and equity-based compensation.
Why Join Array Labs?
Array Labs is launching a constellation of satellites to create the first high-resolution, real-time, three-dimensional model of Earth. Our next-generation satellite technology will offer image quality 60x greater than traditional techniques, profoundly expanding humanity's ability to understand and respond to events on a global scale.
In forging an affordable, accessible, accurate representation of Earth, our work has the potential to transform the face of dozens of fields, including autonomy, telecommunications, disaster relief, gaming, climate science, defense and construction.