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Remote Computer Vision Engineer Jobs in Anaheim, CA

This position will be remote/hybrid, and the ideal candidate will need to live near a major airport ... continuous computer-based work requiring periods of sitting, close vision, and the ability to ...

Salary: 100k - 125k Annual Software Engineer Flash Biometrics | Hybrid/Remote Claremont, CA Salary ... Strong foundation in computer science fundamentals, algorithms, and data structures * Experience ...

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Remote Computer Vision Engineer information

See Anaheim, CA salary details

$50.8K

$127.2K

$143.9K

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

As of Jul 15, 2026, the average yearly pay for remote computer vision engineer in Anaheim, CA is $127,215.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,700.00 and $137,700.00 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 Anaheim, CA? The most popular types of Computer Vision Engineer jobs in Anaheim, CA are:
What are popular job titles related to Remote Computer Vision Engineer jobs in Anaheim, CA? For Remote Computer Vision Engineer jobs in Anaheim, CA, the most frequently searched job titles are:
What job categories do people searching Remote Computer Vision Engineer jobs in Anaheim, CA look for? The top searched job categories for Remote Computer Vision Engineer jobs in Anaheim, CA are:
What cities near Anaheim, CA are hiring for Remote Computer Vision Engineer jobs? Cities near Anaheim, CA with the most Remote Computer Vision Engineer job openings:
Full-Stack Software Engineer, Internal Services

Full-Stack Software Engineer, Internal Services

Serve Robotics

Los Angeles, CA โ€ข Remote

$140K - $190K/yr

Full-time

Posted 6 days ago


Job description

At Serve Robotics, weโ€™re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. Itโ€™s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses.

The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. Weโ€™re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity.

Who We Are

We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully.

The Full-Stack Software Engineer, Internal Services builds and improves internal deployment tooling that helps Serve ship robot software safely, quickly, and at fleet scale.

Responsibilities

  • Build, test, and maintain internal web services and user interfaces that support software release workflows for engineering, QA, and operations teams.

  • Focused work on frontend, backend, cloud infrastructure and embedded software..

  • Collaborate with your teammates on the entire software lifecycle for internal services - design, implementation, testing, deployment and operations.

  • Add and improve observability across the deployment experience, including real-time status, logs, timelines, and audit trails that make it easier to understand rollout health and debug failures.

  • Strengthen CI/CD, automated testing, and release safety checks to improve confidence in deployment tooling and reduce operational risk.

  • Contribute to deployment governance features such as auditability, role-based access, and privileged action tracking.

  • High expectation on production quality clean, maintainable code and provide thoughtful PR feedback, including constructively challenging assumptions, identifying risks, and improving overall engineering quality.

  • Support production rollouts and release operations as needed, Participate in the oncall rotation for internal services.

  • Demonstrated experience delivering quality software with and without GenAl

Qualifications

  • 5+ years of software engineering experience with meaningful ownership of production systems, internal tools, or other high-visibility software projects.

  • Strong backend experience with Node.js or TypeScript-based services.

  • Strong frontend experience with TypeScript and a modern web framework; Vue is preferred, but React experience is also acceptable.

  • Experience working with cloud platforms GCP perfered.

  • Hands-on experience designing, implementing, testing, and supporting production software with strong attention to reliability and maintainability.

  • Demonstrated ability to own a problem area end-to-end, work through ambiguity, and keep momentum on an important cross-functional project.

  • Strong communication and collaboration skills, including the ability to pair program regularly, work closely with stakeholders, and keep work moving when priorities shift.

  • Willingness to give candid, respectful technical feedback in code reviews and design discussions.

  • A practical, detail-oriented engineering mindset with strong testing instincts and careful consideration of downstream consequences.

What Makes you Stand Out

  • Experience with deployment systems, release tooling, feature flags, fleet management, or internal developer platforms.

  • Experience building or supporting CI/CD workflows, ideally with GitHub Actions or a similar system.

  • Experience with relevant product areas such as scheduling, observability, audit trails, access control, or rollout governance.

  • Experience with GCP, Terraform, Kubernetes, or related infrastructure used to operate internal platforms at scale.

  • Experience supporting software used by multiple internal personas, especially engineering, QA, and operations teams.

  • Experience improving test coverage, structured logging, metrics, or tracing in an operationally important system.

  • Comfort working in a fast-moving environment with a strong bias for action and an expectation of personal ownership.

*Please Note: The listed base salary range applies to candidates based in the US.

Compensation may vary depending on location, experience, and role alignment. We are open to qualified candidates working remotely in Canada:

  • Canada - ALL: $115K - $160k CAD (Base)

Compensation Range: $140K - $190K