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Computer Vision Deep Learning Engineer Jobs in California

About Us At Hayden AI, we are on a mission to harness the power of computer vision to transform the ... About the Role As a Deep Learning Engineer at Hayden, you will make key contributions towards ...

Deep Learning Engineer

San Francisco, CA · On-site

$161K - $175K/yr

About Us At Hayden AI, we are on a mission to harness the power of computer vision to transform the ... About the Role As a Deep Learning Engineer at Hayden, you will make key contributions towards ...

About Us At Hayden AI, we are on a mission to harness the power of computer vision to transform the ... About the Role As a Staff Deep Learning Engineer in the Deep Learning team at Hayden, you are a ...

Showing results 21-40

Computer Vision Deep Learning Engineer information

See California salary details

$47.9K

$119.9K

$135.7K

How much do computer vision deep learning engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for computer vision deep learning 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 computer vision deep learning engineer?

A Computer Vision Deep Learning Engineer designs, develops, and optimizes deep learning models for tasks like image recognition, object detection, and segmentation. They work with large datasets, train neural networks, and fine-tune models to achieve high accuracy. The role involves using frameworks like TensorFlow or PyTorch, implementing computer vision algorithms, and deploying models for real-world applications. Strong programming skills in Python and experience with deep learning techniques are essential.

What are the key skills and qualifications needed to thrive as a computer vision deep learning engineer?

To thrive as a Computer Vision Deep Learning Engineer, you need a strong background in machine learning, computer vision, mathematics, and programming (usually Python or C++), often supported by a relevant degree such as computer science, electrical engineering, or a related field. Experience with frameworks like TensorFlow, PyTorch, OpenCV, and familiarity with cloud computing environments or GPU acceleration are typically essential, with additional value from certifications in AI or deep learning. Strong problem-solving abilities, teamwork, and clear communication are valuable soft skills for collaborating on complex research and product development projects. These skills and qualifications ensure effective design, implementation, and integration of state-of-the-art computer vision solutions within multidisciplinary teams and real-world applications.

What are some typical challenges faced by computer vision deep learning engineers in their daily work?

Computer Vision Deep Learning Engineers often face challenges such as handling large, complex datasets, tuning deep learning models to achieve high accuracy, and optimizing processing speed for real-time applications. They may encounter difficulties with noisy or incomplete data, require advanced troubleshooting when models underperform, and must stay updated with rapid advancements in the field. Collaboration with data scientists, software engineers, and product teams is common, so balancing technical depth with effective communication is key. Overcoming these challenges requires strong analytical skills, continuous learning, and a proactive problem-solving mindset.

What are the most commonly searched types of Computer Vision Deep Learning Engineer jobs in California?

The most popular types of Computer Vision Deep Learning Engineer jobs in California are:

What job categories do people searching Computer Vision Deep Learning Engineer jobs in California look for?

The top searched job categories for Computer Vision Deep Learning Engineer jobs in California are:

What cities in California are hiring for Computer Vision Deep Learning Engineer jobs?

Cities in California with the most Computer Vision Deep Learning Engineer job openings:

Infographic showing various Computer Vision Deep Learning Engineer job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $119,924 per year, or $57.7 per hour.

Software Engineer, Computer Vision and Deep Learning

Mashgin

Palo Alto, CA • On-site

Full-time

Re-posted 11 days ago


Job description

Job Summary:
Mashgin is developing the future of checkout experiences with a focus on computer vision technology. They are seeking a passionate Computer Vision engineer to design and implement cutting edge algorithms for real-world problems, working in a dynamic team environment.
Responsibilities:
• Developing new computer vision algorithms with founders in C/C++ and Python for solving challenging real-world problems
• Coming up with large scale data collection techniques for training Deep Neural Nets
• Driving the development of new algorithms that dramatically improve our existing methods
• Researching and maintaining state-of-the-art ML/CV algorithms that can analyze images
• Coding full-stack building products from end to end
Qualifications:
Required:
• 5+ years relevant coding experience
• Masters degree in Computer Science or related field
• Strong background in Computer Vision
• Exposure to new Deep Learning techniques for image recognition
Preferred:
• MS/PhD degree or equivalent practical experience in Computer Science, AI, Machine Learning, or related technical field
• Experience with Python or C/C++ in a Linux environment
• Knowledge and experience in application of Deep Learning to Computer Vision problems
• Real-world experience building Computer Vision systems
Company:
Mashgin is a software company that makes AI and computer vision checkout systems. Founded in 2014, the company is headquartered in Palo Alto, USA, with a team of 51-200 employees. The company is currently Growth Stage.