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Senior Computer Vision Engineer Jobs in California

Senior Computer Vision Engineer

Menlo Park, CA · On-site

$116.10K - $193.40K/yr

Skilled in at least one programming language used in Computer Vision (e.g. Python and/or C++) Preferred Qualifications: * Experience with common AI/ML tools and frameworks such as PyTorch, PyTorch ...

Senior Computer Vision Engineer

Menlo Park, CA · On-site

$116.10K - $193.40K/yr

Skilled in at least one programming language used in Computer Vision (e.g. Python and/or C++) Preferred Qualifications: * Experience with common AI/ML tools and frameworks such as PyTorch, PyTorch ...

Senior Computer Vision Engineer

Santa Clara, CA

$143.90K - $189.70K/yr

We are seeking a talented Computer Vision / Machine Learning Engineer to join our global team. In this role, you will develop and optimize multi-modal models and computer vision systems, driving ...

Senior Computer Vision Engineer

Santa Clara, CA · On-site

$143.80K - $189.60K/yr

We are seeking a talented Computer Vision / Machine Learning Engineer to develop and optimize multi-modal models and computer vision systems, driving performance, efficiency, and real-world ...

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 this role, you will develop and optimize multi-modal models and computer vision systems, driving ...

In this role at Dexterity, you will be working on writing Computer Vision code and building Machine Learning models for computer vision. The role will involve understanding our current systems and ...

Computer Vision Engineer

San Diego, CA · On-site

$118.40K - $139.60K/yr

The Staff Computer Vision Engineer will leverage expertise in computer vision and video processing ... with senior leadership (Director level and above). • 1+ year of experience in a technical ...

Computer Vision Engineer

San Diego, CA · On-site

$112K - $130K/yr

Computer Vision Engineer JOB OVERVIEW As a Computer Vision Engineer at Foresight Sports, you'll design and implement vision-based systems that enable real-time tracking of golf balls, club heads, and ...

Computer Vision Engineer JOB OVERVIEW As a Computer Vision Engineer at Foresight Sports, you'll design and implement vision-based systems that enable real-time tracking of golf balls, club heads, and ...

Computer Vision Engineer

Costa Mesa, CA

$119.60K - $141.10K/yr

About the Role We are seeking a Computer Vision Engineer to join our Perception team at Anduril Industries, where we develop cutting-edge perception systems for autonomous drones and unmanned sea ...

Aquabyte is seeking a Computer Vision Engineer to help develop and deploy new algorithms to fish farms across the world. You'll be responsible for software and machine learning model development of ...

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Showing results 1-20

Senior Computer Vision Engineer information

See California salary details

$58.7K

$124.9K

$181.1K

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

As of May 31, 2026, the average yearly pay for senior computer vision engineer in California is $124,900.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,100.00 and $141,600.00 per year, depending on experience, location, and employer.

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

To thrive as a Senior Computer Vision Engineer, you need a deep understanding of computer vision algorithms, strong programming skills (especially in Python or C++), and a background in mathematics or related fields, often supported by a master's or PhD. Proficiency with machine learning frameworks (such as TensorFlow, PyTorch, or OpenCV), and experience with version control systems are typically required. Exceptional problem-solving abilities, effective communication, and leadership skills help in collaborating with teams and driving innovation. These skills ensure the development of robust vision solutions, efficient project execution, and alignment with organizational goals.

What are some common challenges faced by a Senior Computer Vision Engineer when deploying models to production environments?

One common challenge for Senior Computer Vision Engineers is ensuring that models perform reliably in real-world conditions, which often differ significantly from controlled training datasets. Handling variations in lighting, angles, and image quality can impact model accuracy, requiring ongoing data collection and retraining. Additionally, optimizing models for efficiency and latency is crucial when deploying to edge devices or cloud platforms, and collaboration with DevOps and software engineering teams is essential to integrate solutions seamlessly into production pipelines.

What are Senior Computer Vision Engineers?

Senior Computer Vision Engineers are experienced professionals who design, develop, and optimize computer vision algorithms and systems. They typically work on advanced projects involving image and video analysis, object detection, facial recognition, and related technologies. These engineers often lead teams, set technical direction, and collaborate with other departments to integrate computer vision solutions into products or services. Their role requires strong expertise in programming, machine learning, and mathematics, as well as staying current with the latest research in the field.

What is the difference between Senior Computer Vision Engineer vs Computer Vision Engineer?

AspectSenior Computer Vision EngineerComputer Vision Engineer
Required CredentialsBachelor's/Master's/PhD in CS, Electrical Engineering, or related field; experience in computer visionBachelor's or higher in relevant field; similar experience levels
Work EnvironmentAdvanced projects, mentorship roles, leadership responsibilitiesDevelopment and implementation of computer vision algorithms, research, and prototyping
Employer & Industry UsageTech companies, automotive, robotics, healthcareStartups, research labs, tech firms, manufacturing

The main difference between a Senior Computer Vision Engineer and a Computer Vision Engineer lies in experience and responsibilities. Senior roles typically involve leadership, mentorship, and complex project management, while standard roles focus on developing and implementing algorithms. Both positions require similar educational backgrounds and industry experience, but senior engineers often handle more strategic tasks and oversee projects.

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 Senior Computer Vision Engineer jobs in California? For Senior Computer Vision Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Senior Computer Vision Engineer jobs in California look for? The top searched job categories for Senior Computer Vision Engineer jobs in California are:
What cities in California are hiring for Senior Computer Vision Engineer jobs? Cities in California with the most Senior Computer Vision Engineer job openings:
Infographic showing various Senior Computer Vision Engineer job openings in California as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $124,900 per year, or $60 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.