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Computer Vision Deep Learning Engineer Jobs in California

Sapios

Computer Vision Engineer

Sacramento, CA · On-site

$121K - $143K/yr

Strong background in computer vision, deep learning, or robotics. * Hands-on experience with ... Solid programming skills in Python (C++/Swift is a plus). * Experience with real-time systems or ...

Qualcomm

Computer Vision System Engineer

San Diego, CA · On-site

Engineering Group, Engineering Group > Video Systems, HW Architecture General Summary: Qualcomm ... The team develops next-generation mobile computer vision and deep learning solutions for imaging ...

Hayden AI

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 ...

Qualcomm

Computer Vision System Engineer

San Diego, CA · On-site

$150 - $200/hr

Engineering Group, Engineering Group > Video Systems, HW Architecture General Summary: Qualcomm ... The team develops next-generation mobile computer vision and deep learning solutions for imaging ...

Hayden AI

Staff Deep Learning Engineer

San Francisco, CA · On-site

$230K - $299K/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 Staff Deep Learning Engineer in the Deep Learning team at Hayden, you are a ...

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Showing results 21-40

All JobsComputer Vision Deep Learning Engineer JobsComputer Vision Deep Learning Engineer Jobs in California

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 Sep 9, 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 are popular job titles related to Computer Vision Deep Learning Engineer jobs in California?

For Computer Vision Deep Learning Engineer jobs in California, the most frequently searched job titles 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:

Computer Vision Deep Learning Engineer jobs near you
Infographic showing various Computer Vision Deep Learning Engineer job openings in California as of September 2026, with employment types broken down into 1% As Needed, 61% Full Time, 33% Part Time, and 5% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $119,924 per year, or $57.7 per hour.

Computational Photography/Computer Vision Machine Learning Engineer, Camera & Photos

Cupertino, CA • On-site

Apple
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Appleexternal

$150K - $277K/yr

Full-time

Medical, Dental, Retirement

This job post has expired 2 days ago. Applications are no longer accepted.

Key responsibilities

  • Research and develop novel machine learning techniques for image restoration and image fusion applications.

  • Contribute to algorithm design and implementation for camera imaging algorithms.

  • Collaborate with cross-functional teams to integrate machine learning models into the Apple camera imaging pipeline.

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 684 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

In the Camera Imaging Algorithms team in the Camera & Photos organization, we are looking for passionate, self-driven computational photography/computer vision machine learning engineers who enjoy both innovating down to the details and collaborating with broader cross-functional teams to bring exciting new imaging technology to our Apple products. We have worked on many core algorithms in the Apple camera imaging pipeline like Deep Fusion, Photonic Engine, SmartHDR, and Panorama. In this role, you will research and develop novel machine learning techniques for various image restoration and image fusion applications and contribute to shipping the most popular camera in the world.
Description
As a machine learning engineer on our team, you will contribute to algorithm design and implementation. You will develop and train deep learning models and collaborate with cross-functional teams like camera hardware, firmware, GPU, and image quality teams to bring your innovative ideas to product. We are seeking a creative and inquisitive engineer who can leverage their knowledge of classical computer vision and computational photography techniques to build deep learning models that help us design the next generation Apple camera imaging pipeline.
Preferred Qualifications
Excellent verbal and written communication skills
Creativity and curiosity for solving complex problems.
Minimum Qualifications
Strong coding skills in Python; experience in C/C++ a big plus
Demonstrated ability in developing machine learning algorithms for computational photography/computer vision and image processing problems
Extensive knowledge in camera processing pipeline, classical computer vision, and classical computational photography techniques
Experience with deep learning techniques for image restoration and image fusion applications (denoising/demosaicing/super-resolution), and experience with deep learning frameworks like PyTorch or TensorFlow
MS/PhD in Computer Vision, Machine Learning, Computer Science, Electrical Engineering or related fields
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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