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Remote Image Processing Engineer Jobs in California

Amat

Software/Algorithm Engineer

Santa Clara, CA · On-site +1

$152K - $208K/yr

... image analysis algorithms for full wafer metrology data processing - Analyze large-scale spatial ... engineers to define algorithm requirements and integrate solutions into measurement workflows ...

New

Figma

Software Engineer, Graphics & Media

San Francisco, CA · On-site +1

$164K - $203K/yr

The Pixel Engine team is looking for engineers with domain expertise in Media processing and ... Supporting new client-side Media features (e.g. image processing pipelines) * Improving the ...

Mote, Inc.

Process Engineer

Los Angeles, CA · On-site +1

$95K - $120K/yr

If remote, regular travel is expected. About Mote Mote is developing a first-of-a-kind technology ... Experience with gasification, biomass conversion, and/or gas processing. * Demonstrated leadership ...

Oklo

Process Engineer - Fuel Recycling

Santa Clara, CA · On-site +1

$100K - $160K/yr

We are searching for a Process Engineer to join our Fuel Recycling engineering team. Position ... image of the company that we put forward. About Oklo travel requirements: Oklo requires remote ...

Amat

Algorithm Developer

Santa Clara, CA · On-site +1

$184K - $253K/yr

You will perform algorithmic concept and feasibility for image processing algorithms, including ... GPU Programming like CUDA, and algorithm optimization and tuning skills are desired. * Working ...

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Remote Image Processing Engineer information

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

AspectRemote Image Processing EngineerRemote Computer Vision Engineer
Required CredentialsBachelor's or higher in Computer Science, Electrical Engineering, or related fields; experience with image processing librariesBachelor's or higher in Computer Science, Electrical Engineering, or related fields; experience with computer vision frameworks
Work EnvironmentRemote, often in tech or AI companies focusing on image analysisRemote, typically in AI, robotics, or autonomous systems industries
Employer & Industry UsageTech companies, startups, research labs working on image enhancement, medical imagingTech firms, autonomous vehicle companies, surveillance, robotics

Remote Image Processing Engineers focus on developing algorithms for analyzing and enhancing images, while Remote Computer Vision Engineers work on enabling machines to interpret visual data. Both roles require similar technical skills and often overlap, but the Computer Vision role emphasizes understanding and modeling visual information for AI applications.

What are Remote Image Processing Engineers?

Remote Image Processing Engineers are professionals who design, develop, and implement algorithms and software to analyze, enhance, and manipulate digital images, all while working from a remote location. They often use programming languages like Python, C++, or MATLAB and leverage libraries such as OpenCV or TensorFlow. Their work may involve tasks like object detection, image classification, or medical image analysis. These engineers collaborate with cross-functional teams and ensure that image data is processed efficiently and accurately, often for applications in fields like healthcare, robotics, or entertainment.

What are the key skills and qualifications needed to thrive as a Remote Image Processing Engineer, and why are they important?

To thrive as a Remote Image Processing Engineer, you need a strong background in computer vision, image analysis, and programming languages such as Python or C++, often supported by a degree in computer science or a related field. Familiarity with libraries and frameworks like OpenCV, TensorFlow, and MATLAB, along with experience using version control systems like Git, is typically required. Excellent problem-solving skills, self-motivation, and effective remote communication abilities help set candidates apart. These skills are crucial for developing robust image processing solutions, collaborating efficiently with distributed teams, and meeting project goals in a remote work environment.

How does a Remote Image Processing Engineer typically collaborate with cross-functional teams while working offsite?

Remote Image Processing Engineers often collaborate with data scientists, software developers, and product managers through virtual meetings, code review platforms, and shared documentation. Effective communication and clear documentation are crucial to ensure alignment on project goals, processing algorithms, and integration tasks. Most teams utilize agile methodologies and tools like Slack, Jira, and GitHub to coordinate work and provide timely feedback, making it essential for remote engineers to be proactive and responsive. This collaborative structure helps maintain project momentum despite geographic separation.
What are popular job titles related to Remote Image Processing Engineer jobs in California? For Remote Image Processing Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Image Processing Engineer jobs in California look for? The top searched job categories for Remote Image Processing Engineer jobs in California are:
What cities in California are hiring for Remote Image Processing Engineer jobs? Cities in California with the most Remote Image Processing Engineer job openings:
Remote Image Processing Engineer jobs near you
Machine Learning Engineer

Machine Learning Engineer

Intelliswift

South San Francisco, CA • Remote

Other

Posted 21 days ago

Job description

Job ID: 21-13833
Responsibilities
• Work closely with AI and imaging scientists in machine learning work streams including but not limited to semantic segmentation, object detection and classification.
• Work closely with Client and data engineers in end-to-end machine learning and data pipelines.
Qualifications:
• MS or PhD in a quantitative field ( e.g. Computer Science, Computational Biology, Machine Learning, Statistics, Mathematics, Physics), preferably with a thesis on a computer vision-related topic.
• Previous industrial experience of deep learning in image processing/computer vision or previous deep learning experience in healthcare industry or research institute.
• Demonstrated experience with Python and analysis of image-like data.
• Strong knowledge in supervised machine learning and semi-supervised machine learning.
• Excellent communication and collaboration skills.
Optional but preferred qualifications:
• Strong knowledge of classical image processing or computer vision.
• Good knowledge of Generative Adversarial Networks.
• Previous experience in medical image processing.
• Familiar with Pytorch lightning.
• Familiar with development tools for experiment tracking, dataset versioning, and model management in machine learning.
* This position is remote

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About Intelliswift

Sourced by ZipRecruiter

Intelliswift is consumed with the love for the new. Once a leading staffing company, Intelliswift now possesses the expertise to build data-rich modern platforms, and to create sophisticated systems for data management and analytics for thinking and connected enterprises. We are a global leader in delivering Digital Product Engineering, Data Management & Analytics, Cloud, Digital Enterprise and MSP/VMS staffing solutions. Led by a team of highly passionate and techno-centric innovators, we consciously embed the spirit of loving and embracing everything new in what we do. We ardently believe that companies that Love the New are at an advantage of being ahead of the curve in this age of digital.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Newark, CA, US

Year founded

2001

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