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Remote Computer Vision Engineer Jobs in California

Amtec Staffing

Principal Engineer

Monrovia, CA · On-site +1

... remote operations. • Develop industrial data acquisition, historians, and plant-wide data ... machine learning, computer vision, SCADA/HMI platforms, and real?time industrial automation ...

New

MatX

ASIC/SOC CAD Engineer

Mountain View, CA · On-site +1

$175K - $362.50K/yr

Health & Wellness Company subsidized Health, Dental, Vision, and Life insurance; Pre-tax Health ... Remote Perks We work remotely Monday & Friday, supported by home-tech setup, and remote wifi ...

Homesight Inc

Direct the application of machine learning, particularly computer vision, to our product and ... You should have: * 8+ years experience within data engineering and/or science with 5+ years of ...

Waymo

Systems Engineer, Perception

San Francisco, CA · On-site +1

$196K - $248K/yr

Experience with developing and/or testing machine learning/computer vision/AI systems. The expected ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Waymo

Systems Engineer, Perception

Mountain View, CA · On-site +1

$196K - $248K/yr

Experience with developing and/or testing machine learning/computer vision/AI systems. The expected ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Waymo

Software Engineer, Sensor/Imaging

San Francisco, CA · On-site +1

$204K - $259K/yr

Hands-on experience with computational imaging or computer vision * Familiarity with SQL or NoSQL ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Waymo

Software Engineer, Sensor/Imaging

Mountain View, CA · On-site +1

$204K - $259K/yr

Hands-on experience with computational imaging or computer vision * Familiarity with SQL or NoSQL ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

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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 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.
More about Remote Computer Vision Engineer jobs
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:
Remote Computer Vision Engineer jobs near you
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.
Artificial Intelligence Engineer (Remote)

Artificial Intelligence Engineer (Remote)

Eazifunds

San Francisco, CA • On-site, Remote

Full-time

Posted 11 days ago

Job description

The Role:
We’re looking for an experienced artificial intelligence engineer to join the revolution, using deep learning, neuro-linguistic programming (NLP), LLM, computer vision, robotic process automation, human in the loop, decision-making engines, chatbots, and robotics to help us improve various business outcomes and drive innovation. The engineer will join a multidisciplinary team helping to shape our AI strategy and showcasing the potential for AI through early-stage solutions. This is an excellent opportunity to take advantage of emerging trends and technologies and make a real-world difference.

Objectives of this role:
1. Manage and direct processes and R&D (research and development) to meet the needs of our AI strategy
2. Understand company and client challenges and how integrating AI capabilities can help lead to solutions
3. Lead cross-functional teams in identifying and prioritizing key areas of a partner’s business where AI solutions can drive significant business benefit
4. Analyze and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards
Responsibilities:
1. Advise C-suite executives and business leaders on a broad range of technology, strategy, and policy issues associated with AI
2. Work on functional design, process design (including scenario design and flow mapping), prototyping, testing, training, and defining support procedures in collaboration with an advanced engineering team and executive leadership
3. Articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation
4. Manage a team in conducting assessments of the AI and automation market and competitor landscape
5. Serve as liaison between stakeholders and project teams, delivering feedback and enabling team members to make necessary changes in product performance or presentation
Requirement skills and qualifications:
1. Two or more years of experience in applying AI to practical and comprehensive technology solutions
2. Experience with ML, deep learning, TensorFlow, Python, and NLP
3. Experience in program leadership, governance, and change enablement
5. Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns
6. Experience in REST API development, NoSQL database design, and RDBMS design and optimization
Plus:
1. A bachelor's or master's degree in computer science or related field
2. Experience with innovation accelerators
3. Experience with cloud environments
What we can offer:
1. Salary
2. Stock options
3. Performance-Based Bonus
4. Employee Benefits

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