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Remote Image Processing Scientist Jobs in California

NFL Data Scientist

San Francisco, CA ยท On-site +1

$140K/yr

This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ... Experience with source control tools such as GitHub and related CI/CD processes * Experience ...

Soccer Data Scientist

San Francisco, CA ยท On-site +1

$130K/yr

This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ... Experience with source control tools such as GitHub and related CI/CD processes * Experience ...

In-depth knowledge of modern tools and pipelines for processing, aligning, and analyzing multimodal ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

New

Software/Algorithm Engineer

Santa Clara, CA ยท On-site +1

$152K - $208K/yr

... image processing and computer vision algorithms - High proficiency in one or more of the following: Python, MATLAB and C/C++ - Experience with scientific computing libraries - Strong analytical and ...

Senior AI Scientist

Palo Alto, CA ยท On-site +1

$107K - $146K/yr

Ability to quickly learn new concepts and apply to research and development process in an iterative ... Experience in Computer Vision, Medical Image Analysis, Machine Learning, or Deep Learning.

New

Adidev Technologies Inc www.adidevtechnologies.com URGENT HIRE - HIRING PROCESS - 24-48 HOURS ... As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ...

Remote Role Responsibilities * Contribute subject matter expertise to a cutting-edge project ... Interview Process * Complete a short interview and task ( 20-30 mins ). * Paid onboarding time for ...

Data Scientist

San Francisco, CA ยท Remote

$165K/yr

This is full-time remote position. Key Responsibilities * Develop, deploy and monitor predictive ... process your personal information, and your data protection rights.

Data Scientist

San Francisco, CA ยท Remote

$165K/yr

This is full-time remote position. Key Responsibilities * Develop, deploy and monitor predictive ... process your personal information, and your data protection rights.

Showing results 21-40

Remote Image Processing Scientist information

What are some common challenges faced by remote image processing scientists when collaborating with cross-functional teams?

Remote Image Processing Scientists often work with diverse teams, including software engineers, data scientists, and project managers. A common challenge is ensuring clear communication of complex technical concepts, especially when team members have varying levels of expertise in image processing. Additionally, aligning on project goals and integrating image processing workflows with broader system architectures can require extra coordination in a remote setting. Proactively scheduling regular meetings and using collaborative tools can help bridge these gaps and foster effective teamwork.

What is the difference between Remote Image Processing Scientist vs Remote Computer Vision Engineer?

AspectRemote Image Processing ScientistRemote Computer Vision Engineer
Required CredentialsMaster's or PhD in Computer Science, Electrical Engineering, or related fields; experience with image processing algorithmsBachelor's or higher in Computer Science or Electrical Engineering; strong programming skills in Python, C++, and experience with vision libraries
Work EnvironmentResearch-focused, often in R&D teams, developing new image processing techniquesDevelopment-focused, implementing and deploying computer vision models in products
Employer & Industry UsageTech companies, research labs, healthcare, automotiveTech firms, autonomous vehicles, robotics, security systems

While both roles involve working with visual data, the Remote Image Processing Scientist primarily focuses on research and developing new algorithms, whereas the Remote Computer Vision Engineer applies these techniques to build practical applications and systems.

What are the key skills and qualifications needed to thrive as a remote image processing scientist, and why are they important?

To thrive as a Remote Image Processing Scientist, you need a solid background in computer vision, image analysis, and strong programming skills, generally supported by a degree in computer science, electrical engineering, or a related field. Expertise in tools such as Python, MATLAB, OpenCV, and familiarity with machine learning frameworks and cloud computing platforms is typically required. Strong problem-solving abilities, self-motivation, and effective communication are important soft skills, especially when working in remote or distributed teams. These skills ensure the development of robust image processing solutions, efficient collaboration, and the ability to adapt to evolving project requirements.

What is a remote image processing scientist?

A Remote Image Processing Scientist is a professional who specializes in analyzing and interpreting images using advanced computational techniques, often working from a remote location. They process and enhance digital images, such as satellite photos, medical scans, or photographs, using algorithms and software tools. Their work may involve developing new image analysis methods, improving image quality, and extracting meaningful data for various applications like remote sensing, healthcare, or security. Remote Image Processing Scientists typically have backgrounds in computer science, engineering, or related fields, and are skilled in programming, mathematics, and data analysis.
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 Remote Image Processing Scientist jobs in California? For Remote Image Processing Scientist jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Image Processing Scientist jobs in California look for? The top searched job categories for Remote Image Processing Scientist jobs in California are:
What cities in California are hiring for Remote Image Processing Scientist jobs? Cities in California with the most Remote Image Processing Scientist job openings:
Infographic showing various Remote Image Processing Scientist job openings in California as of August 2026, with employment types broken down into 5% Internship, 76% Full Time, 14% Part Time, and 5% Contract. Highlights an 100% Remote job distribution.

Senior Data Scientist, Innovation Lab - Remote

Experian

San Diego, CA โ€ข Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago


Job description

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.

Job Description

Experian Innovation Lab is a research and development unit at Experian formed with the desire to work in collaboration with Experian's departments to enhance relationships with clients and acquire strategic datasets. Experian® is a global leader in providing information, analytical tools and marketing services to organizations and consumers to help manage the risk and reward of commercial and financial decisions. Using our comprehensive understanding of individuals, markets and economies, we help organizations develop customer relationships to make their businesses more profitable.

As a Senior Data Scientist at the Experian Innovation Lab, your role will be to research and develop analytical solutions, prototype new products, and evaluate data assets. You must bring an experience in predictive modeling, machine learning, and deep learning to this position. You will report into the Sr. Principal Data Scientist

You'll have opportunity to:

  • Create advanced machine learning analytical solutions to extract insights from diverse structured and unstructured data sources.
  • Unearth data value by selecting and applying the right machine learning, deep learning and processing techniques.
  • Refine data manipulation and retrieval through the design of efficient data structures and storage solutions.
  • Innovate with tools designed for data processing and information retrieval.
  • Dissect and document vast datasets, analyzing them to highlight patterns and insights.
  • Solve complex challenges by developing impactful algorithms.
  • Ensure model excellence by validating performance scores and analyzing Return on investment and benefits.
Qualifications
  • PhD degree in Machine Learning, Data Science, AI, Computer Science, or a related quantitative field.
  • 2+ years of experience in AI, data science, or predictive modeling
  • Proficiency in multiple programming languages, including Python
  • Experience in deep learning (CNN, RNN, LSTM, attention models), machine learning methodologies (SVM, GLM, boosting, random forest), graph models, or reinforcement learning.
  • Experience with open-source tools for deep learning and machine learning technology such as pytorch, Keras, tensorflow, scikit-learn, pandas.
  • Experience with large data analysis using pySpark
  • Experience with LLMs and the relevant tools in the Generative AI domain.
  • Experience with Hadoop and NoSQL related technologies such as Map Reduce, Hive, HBase, mongoDB, Cassandra.
  • Experience modifying and applying advanced algorithms to address practical problems
  • Experience with online, mobile marketing analytics
  • Experience with GPU programming

Additional Information

Benefits/Perks:

  • Great compensation package and bonus plan
  • Core benefits including medical, dental, vision, and matching 401K
  • Flexible work environment, ability to work remote, hybrid or in-office
  • Flexible time off including volunteer time off, vacation, sick and 12-paid holidays
  • Explore all our exciting benefits here: https://yourexperianbenefits.com/cand-index.html

Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why.

Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. This position is also eligible for a variable pay opportunity and a comprehensive benefits package.

Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Recruitment Fraud Awareness - Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @experian.com email address. Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careers..

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