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Full Time Computer Vision Jobs (NOW HIRING)

XPENG

Senior Computer Vision Engineer

Santa Clara, CA · On-site

$143.90K - $189.70K/yr

We are seeking a talented Computer Vision / Machine Learning Engineer to join our global team. In ... The base salary range for this full-time position is $174,720 - $295,680 in addition to bonus ...

Corning

Sr. Computer Vision Engineer

Painted Post, NY

$89.13K - $122.56K/yr

Scope of Position: A Sr. Computer Vision engineering position in the Corning Environmental ... The range for this position is $89,134.00 - $122,559.00 assuming full time status. Starting pay for ...

Verkada

Software Engineer - Computer Vision

San Mateo, CA · On-site

$180K - $300K/yr

About the Role At the forefront of innovation, the Computer Vision team develops the artificial ... full-time employees for this position, comprised of base compensation and commissions (if ...

Bobyard, Inc

Head of Computer Vision

San Francisco, CA · On-site

$230K - $300K/yr

We've built a high-performing CV team attacking the most non-trivial problems in applied vision ... This is full-time & in-person in SF. Learning rate and dedication beat pedigree. If you can prove ...

Woodhaven Furniture

CAD Technician

Coolidge, GA

Join Woodhaven Furniture as a Full Time CAD Technician and immerse yourself in an exciting, hands ... You will have benefits such as Medical, Dental, Vision, 401(k), Life Insurance, Competitive Salary ...

Woodhaven Furniture

CAD Technician

Coolidge, GA · On-site

Join Woodhaven Furniture as a Full Time CAD Technician and immerse yourself in an exciting, hands ... You will have benefits such as Medical, Dental, Vision, 401(k), Life Insurance, Competitive Salary ...

Woodhaven Furniture

CAD Technician

Coolidge, GA · On-site

Join Woodhaven Furniture as a Full Time CAD Technician and immerse yourself in an exciting, hands ... You will have benefits such as Medical, Dental, Vision, 401(k), Life Insurance, Competitive Salary ...

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Full Time Computer Vision information

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$48.3K

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How much do full time computer vision jobs pay per year?

As of May 30, 2026, the average yearly pay for full time computer vision in the United States is $48,298.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,000.00 and $55,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Full Time Computer Vision Engineer, and why are they important?

To thrive as a Full Time Computer Vision Engineer, you need a strong background in mathematics, programming (especially Python or C++), and experience with image processing or machine learning, usually supported by a degree in computer science or a related field. Familiarity with frameworks like OpenCV, TensorFlow, or PyTorch, as well as experience deploying models on various platforms, is highly valued. Problem-solving ability, attention to detail, and effective teamwork are essential soft skills for success in this role. These competencies enable engineers to develop, optimize, and implement innovative vision-based solutions that meet real-world challenges.

What are some common challenges faced by computer vision engineers working full-time, and how can they be addressed?

Full-time computer vision engineers often encounter challenges such as handling large and complex datasets, ensuring model accuracy in diverse real-world conditions, and keeping up with rapidly evolving technologies. Collaborating closely with data scientists, software engineers, and product teams is essential to align solutions with business goals and deploy models effectively. Staying updated through continuous learning and leveraging open-source tools or frameworks can help address these challenges and foster professional growth.

What is a Full Time Computer Vision job?

A Full Time Computer Vision job involves working as a specialist in developing systems and algorithms that enable computers to interpret and understand visual information from the world, such as images or videos. Professionals in this field typically design, implement, and optimize computer vision models for tasks like object detection, facial recognition, image segmentation, and video analysis. These roles are commonly found in industries like technology, healthcare, automotive, and robotics, and often require strong programming skills, experience with machine learning frameworks, and a background in mathematics or engineering. Full time positions mean employees work regular hours and receive benefits typical of permanent staff roles.
More about Full Time Computer Vision jobs
What cities are hiring for Full Time Computer Vision jobs? Cities with the most Full Time Computer Vision job openings:
What are the most commonly searched types of Computer Vision jobs? The most popular types of Computer Vision jobs are:
What states have the most Full Time Computer Vision jobs? States with the most job openings for Full Time Computer Vision jobs include:
What job categories do people searching Full Time Computer Vision jobs look for? The top searched job categories for Full Time Computer Vision jobs are:
Full Time Computer Vision jobs near you
Infographic showing various Full Time Computer Vision job openings in the United States as of May 2026, with employment types broken down into 82% Full Time, 16% Part Time, 1% Temporary, and 1% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $48,298 per year, or $23.2 per hour.
Senior Computer Vision Engineer

Senior Computer Vision Engineer

Hired Recruiters

San Francisco, CA • On-site

$123.10K - $169.10K/yr

Full-time

Posted 17 days ago

Job description

JOB DESCRIPTION
AI-powered biology automation.
We are searching for a full-time Senior Computer Vision Engineer to be part of the founding team and work on automating life science methodology.
As a Senior Computer Vision Engineer, you will shape the direction of our AI perception technology and your work will be essential to the success of the company at the proof of concept stage and beyond. You will lead the application of the best available deep learning-based computer vision models to our innovative biology automation platform.
The Opportunity
  • Partner with founder to architect our production AI perception system
  • Own the computer vision pipeline and deploy models to production
  • Ship quality, well-tested code on a modern technology stack
  • Lead software design discussions and code reviews and help shape product direction
  • Encourage, motivate, and mentor other engineers to hone their craft

You'll Need
  • Proven history of designing, training, and deploying CNN computer vision models to production
  • 5+ years of experience in computer vision, perception, and deep learning
  • Experience with PyTorch and OpenCV
  • Experience designing and operating labeling systems
  • Strong written and verbal communication and collaboration skills
  • Desire to grow and learn while innovating on a system that grows and learns
  • Aptitude and passion for technical leadership, code and model reviews, and development of teammates

Bonus
  • BS, MS or PhD in Computer Science, Robotics, or related field
  • Experience with C/C++
  • Experience with ResNet, MobileNet, and DeepStream
  • Experience with multi-camera object tracking, depth, and pose estimation
  • Experience deploying models with GCP Services Vertex AI and Vision OCR
  • Experience with scientific computing or laboratory automation
  • Prior academic publication record in computer vision or related field
  • Experience working in a collaborative and fast-paced Agile team environment
  • Passion for biology and a startup work environment!

Culture
We think culture is something we build together, and should be used to motivate and cohere, rather than to exclude. If you are curious and excited about science and technology, enjoying working in a high autonomy, high accountability, and hands on environment, there's a good chance you'll be energized working at Methid. We have a strong goal-oriented and asynchronous culture, so cogent and pithy writers will flourish. We emphasize learning and transparency and look for people who can expand the product's capabilities as well as their own.

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