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Remote Computer Vision Engineer Jobs in California

Preferred Qualifications: • Master's degree or PhD in Computer Science, Electrical/Computer Engineering, Robotics, or a related field with specialization in edge AI, computer vision, or embedded ML ...

Research Engineer

San Francisco, CA · On-site +1

$122K - $215K/yr

You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that ...

Research Engineer

San Francisco, CA · On-site +1

$122K - $215K/yr

You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that ...

Domain specialization (NLP, computer vision, recommender systems, or agentic systems). Nice to Have ... Fully remote, work from home environment * Employee Share Option Plan * Flexible working hours

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$47.9K

$119.9K

$135.7K

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

As of May 30, 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 cities in California are hiring for Remote Computer Vision Engineer jobs? Cities in California with the most Remote Computer Vision Engineer job openings:
Infographic showing various Remote Computer Vision Engineer job openings in California as of May 2026, with employment types broken down into 2% As Needed, 68% Full Time, 25% Part Time, 3% Contract, and 2% Nights. Highlights an 89% Physical, and 11% Remote job distribution, with an average salary of $119,924 per year, or $57.7 per hour.
Computer Vision Engineer (Senior to Lead)

Computer Vision Engineer (Senior to Lead)

Snail Games USA

Los Angeles, CA • On-site, Remote

$140K - $220K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Job description

Computer Vision Engineer (Senior to Lead)

About Snail Games USASnail Games strives to create the new high bar for gameplay experience in online gaming. We have been a global developer and publisher of digital entertainment since 2009 and are committed to pushing the boundaries of the industry.

About EgofoldEgofold is an AI initiative within Snail Games focused on building a modular AI "brain" ecosystem for NPC intelligence, real-time perception systems, and simulation tooling across multiple game projects.

About the RoleWe are seeking a Computer Vision Architect to lead the design and implementation of a real-time perception system that enables AI agents to understand and operate within complex game and simulated environments. This role will define how video, gameplay capture, and camera feeds are transformed into structured world representations that power intelligent NPC behavior and AI-driven systems within the Egofold ecosystem. You will work closely with engine, AI, and gameplay teams to architect scalable, production-ready vision pipelines integrated with Unreal Engine-based projects.

Job Type: Full-TimeLocation: Remote - Alaska, Arizona, California, Colorado, Connecticut, Florida, Georgia, Illinois, Maine, Missouri, New Jersey, Nevada, North Carolina, Ohio, Pennsylvania, Texas, Washington, and Wyoming.(Los Angeles Area Preferred)

Responsibilities

  • Architect and implement real-time computer vision pipelines for analyzing gameplay video and camera feeds.

  • Design systems that convert 2D visual input into structured 3D semantic world models usable by AI agents and NPC systems.

  • Integrate perception modules into Unreal Engine-based runtimes and toolchains.

  • Optimize inference performance for GPU-constrained, real-time environments.

  • Define data collection, evaluation, and iteration strategies for improving perception robustness.

  • Collaborate with AI engineers to design perception interfaces that feed behavior trees, agent systems, and decision models.

  • Establish long-term technical direction for vision-driven gameplay and simulation features.

Minimum Requirements

  • 5+ years of professional experience in computer vision, real-time perception, or related fields.

  • Advanced degree (Master's or PhD) in AI, Computer Vision, Robotics, or related field preferred.

  • Proven experience building and deploying real-time video perception systems in production environments.

  • Strong C++ proficiency and experience integrating systems into game engines or comparable real-time platforms.

  • Deep understanding of object detection, tracking, temporal modeling, and 3D scene understanding.

  • Experience optimizing models for deployment using CUDA, TensorRT, ONNX, or similar toolchains.

  • Unreal Engine Experience: Proficiency with Unreal Engine, preferably UE4 or UE5.

Nice to Have

  • Experience with multi-agent simulation, reinforcement learning environments, or game AI systems.

  • Familiarity with graphics pipelines (deferred rendering, depth buffers, motion vectors, scene graphs).

  • Experience bridging synthetic and real-world datasets.

  • Prior experience leading small technical teams or defining system architecture roadmaps.

Salary Range: $140,000 - $220,000 Annually

Why Join the Snail Games USA Team?

  • True focus on work/life balance

  • Paid company holidays, vacation, and separate sick leave

  • Medical, dental, vision, and Life/LTD

  • 401k with company match

Work Authorization Requirements

Applicants must be legally authorized to work in the United States at the time of application. This position does not offer visa sponsorship now or in the future (including H-1B).

Additional Information

As part of the Company's activities in video game development, publishing, and short-form video content creation, certain projects, discussions, or creative materials may include themes, visuals, language, or subject matter that some individuals could find mature, violent, sexual, graphic, or otherwise sensitive in nature (collectively referred to as "Mature Content"). Examples may include, but are not limited to, depictions or descriptions of combat, violence, adult themes or relationships, suggestive or satirical humor, or strong language. Employees are expected to engage with such material in a professional and creative context as part of their job duties.