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Remote Computer Vision Engineer Jobs in California

Intelligence Pipeline Analyst

San Francisco, CA ยท On-site +1

$90K - $120K/yr

Deploy, evaluate, monitor, and optimize AI/ML and computer vision models supporting operational ... Partner closely with Product, Engineering, Data Science, Customer Success, and mission stakeholders ...

... computer vision AI. This is a full-time, remote role focused on helping customers successfully ... Coordinate with internal teams including solutions engineering, machine learning, product, and ...

Lead Machine Learning Engineer

Millbrae, CA ยท On-site +1

$119K - $156K/yr

Computer vision for human activity and sentiment classification * Development of data mining, analytics, dashboards and reporting systems * Engineering management (both personnel & projects) * LAMP ...

You will be an ML engineer in AV Labs conducting frontier research for autonomous vehicles. The ... computer vision.- Strong understanding of how to connect cutting-edge modeling techniques to ...

Remote Supervision Coordinator

Los Angeles, CA ยท On-site +1

$55K - $64K/yr

We are solving real-world problems leveraging robotics, machine learning and computer vision, among ... Coordinate with internal operations, engineering, and support teams to escalate issues, communicate ...

Algorithm Developer

Santa Clara, CA ยท On-site +1

$184K - $253K/yr

Strong background in computer vision , image processing , and deep learning technologies ... GPU Programming like CUDA, and algorithm optimization and tuning skills are desired. * Working ...

Algorithm Developer

Santa Clara, CA ยท On-site +1

$161K - $221K/yr

Strong background in computer vision , image processing , and deep learning technologies ... GPU Programming like CUDA, and algorithm optimization and tuning skills are desired. * Working ...

Staff AI Engineer - SimAI Team

Sunnyvale, CA ยท On-site +1

$189K - $290K/yr

Deep knowledge of at least one modern multimodal or 3D computer vision pipeline (e.g.,NeRF ... Remote: This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin ...

We are headquartered in Los Angeles, CA with both a local and remote team. We were founded and ... CAD Graphics Engine! In this role, you'll work as part of a small team of Graphics Engineers to ...

Senior ML Systems Engineer

Sunnyvale, CA ยท On-site +1

$122K - $168K/yr

Remote/Hybrid:This role is based remotely but if you live within a 50-mile radius of Sunnyvale, CA ... Experience with computer vision, machine learning , or datacentric AI projects - especially where ...

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Remote Computer Vision Engineer information

See California salary details

$47.9K

$119.9K

$135.7K

How much do remote computer vision engineer jobs pay per year?

As of Jul 10, 2026, the average yearly pay for remote computer vision engineer in California is $119,924.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,000.00 and $129,800.00 per year, depending on experience, location, and employer.

What is a Remote Computer Vision Engineer job?

A Remote Computer Vision Engineer develops and implements computer vision algorithms and machine learning models to analyze and interpret visual data. They work with image and video processing, deep learning frameworks, and cloud-based or edge computing environments. This role involves tasks like object detection, image segmentation, and facial recognition, often using tools like OpenCV, TensorFlow, or PyTorch. Since it is a remote position, strong communication and collaboration skills are essential for working with distributed teams.

What are the key skills and qualifications needed to thrive in the Remote Computer Vision Engineer position, and why are they important?

To excel as a Remote Computer Vision Engineer, you need strong proficiency in image processing, machine learning, and programming languages such as Python or C++, typically supported by a degree in computer science or a related field. Experience with frameworks like OpenCV, TensorFlow, or PyTorch, and familiarity with cloud platforms and version control systems, are highly valuable. Excellent problem-solving skills, self-motivation, and effective remote communication abilities set standout candidates apart. These skills ensure the successful development and deployment of advanced computer vision solutions in a collaborative, distributed work environment.

What are some typical challenges remote computer vision engineers face and how can they address them?

Remote computer vision engineers often encounter challenges such as aligning on project objectives with distributed teams, managing large datasets, and ensuring models perform well in real-world conditions. Effective communication through regular video meetings and clear documentation can help bridge distance-related gaps. Utilizing collaborative tools for code reviews and version control also streamlines teamwork. To overcome technical hurdles, staying updated on the latest frameworks and best practices in computer vision is important. Proactively addressing these challenges leads to more efficient project delivery and professional growth.

What are the most commonly searched types of Computer Vision Engineer jobs in California? The most popular types of Computer Vision Engineer jobs in California are:
What are popular job titles related to Remote Computer Vision Engineer jobs in California? For Remote Computer Vision Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Computer Vision Engineer jobs in California look for? The top searched job categories for Remote Computer Vision Engineer jobs in California are:
What cities in California are hiring for Remote Computer Vision Engineer jobs? Cities in California with the most Remote Computer Vision Engineer job openings:
Intelligence Pipeline Analyst

Intelligence Pipeline Analyst

Zignal Labs

San Francisco, CA โ€ข On-site, Remote

$90K - $120K/yr

Full-time

Posted 9 days ago


Job description

About Zignal Labs
At Zignal Labs, we operate at the forefront of AI-powered media intelligence and operational data analytics, supporting some of the most mission-critical defense, intelligence, and commercial programs in the world.
We are seeking an Intelligence Pipeline Engineer to join our growing team. This role blends intelligence tradecraft, operational data engineering, AI-driven workflows, and real-time mission support.
This role is designed for professionals who can independently own operational intelligence workflows, drive pipeline optimization efforts, operationalize AI-enabled capabilities, and collaborate cross-functionally to support mission-critical operations.
Key Responsibilities
  • Design, configure, maintain, and optimize operational intelligence collection pipelines supporting real-time monitoring and alerting workflows
  • Independently build, curate, tune, and manage structured datasets, collection logic, enrichment workflows, and operational intelligence pipelines
  • Develop and refine advanced collection strategies using Boolean logic, heuristics, metadata enrichment, tagging frameworks, geospatial filtering, and signal scoring methodologies
  • Drive continuous improvements in signal quality, workflow efficiency, operational relevance, and data reliability
  • Deploy, evaluate, monitor, and optimize AI/ML and computer vision models supporting operational intelligence workflows
  • Develop, test, and refine LLM-driven workflows, prompt frameworks, and AI-assisted alerting systems
  • Support multimodal intelligence workflows integrating text, image, video, metadata, geospatial, and behavioral signals into actionable operational insights
  • Partner closely with Product, Engineering, Data Science, Customer Success, and mission stakeholders to operationalize new capabilities and improve workflows
  • Lead operational troubleshooting, pipeline hardening, workflow optimization, and issue resolution efforts
  • Identify emerging collection opportunities, platform shifts, operational risks, and regional digital ecosystem changes
  • Contribute to operational standards, workflow documentation, and best practices for intelligence pipeline engineering
  • Mentor junior team members supporting operational intelligence workflows
  • Uphold classification, security, legal, and ethical standards for government-facing operational environments

Required Qualifications
  • Active TS/SCI clearance preferred or ability to obtain and maintain one
  • 8+ years of experience supporting DoD, Intelligence Community, defense contractor, or related operational intelligence environments
  • Experience designing, operating, or optimizing intelligence collection workflows, operational monitoring pipelines, or AI-assisted analytical systems
  • Strong understanding of OSINT methodologies, operational collection strategies, and intelligence tradecraft
  • Advanced experience building and refining Boolean logic, heuristic filtering, operational tagging systems, or enrichment workflows
  • Familiarity with AI/ML concepts including NLP, clustering, anomaly detection, entity extraction, computer vision, or multimodal analysis
  • Ability to independently manage competing operational priorities in dynamic mission environments
  • Strong communication and cross-functional collaboration skills

Preferred Qualifications
  • Experience with Python, SQL, APIs, workflow orchestration, or scripting for operational automation and pipeline management
  • Experience supporting real-time operational monitoring and mission-critical alerting systems
  • Familiarity with AI-assisted analytical workflows, prompt engineering, or operational LLM integration
  • Experience collaborating with engineering or product teams to operationalize new capabilities
  • Experience mentoring analysts or engineers in operational intelligence environments
  • Familiarity with foreign social media ecosystems and globally distributed information environments relevant to defense missions

Why Join Zignal Labs?
At Zignal, you'll work at the forefront of AI-powered data intelligence, supporting some of the most mission-critical defense and intelligence programs in the world. You'll play a key role in how large-scale data is collected, refined, and deployed in support of national security and critical commercial environments.
Locations San Francisco, DC, NY Remote status Fully Remote Yearly salary $90,000 - $120,000 Employment type Full-time