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Computer Vision Machine Learning Engineer Jobs in San Diego, CA

General Atomics

Machine Learning Engineer II

Poway, CA · On-site

Typically requires a bachelors or master's degree in computer science, engineering, mathematics, or ... May substitute equivalent machine learning engineer experience in lieu of education. * Must have an ...

AbbVie

Machine Learning Engineer

San Diego, CA · On-site +1

Completed BS, MS, or PhD in Computer Science, Mathematics, Statistics, Data Science,Engineering ... vision insurance and 401(k) to eligible employees. * This job is eligible to participate in our ...

General Atomics

Machine Learning Engineer II

Poway, CA · On-site

$98K - $171K/yr

Typically requires a bachelors or master's degree in computer science, engineering, mathematics, or ... May substitute equivalent machine learning engineer experience in lieu of education. * Must have an ...

Icwgroup

Machine Learning Engineer

San Diego, CA · Hybrid

... Computer Science, Electrical Engineering, or a related field, and a minimum of 3-6 years of ... We offer a competitive benefits package, with generous medical, dental, and vision plans as well as ...

ICW Group

Machine Learning Engineer

San Diego, CA · On-site

... Computer Science, Electrical Engineering, or a related field, and a minimum of 3-6 years of ... We offer a competitive benefits package, with generous medical, dental, and vision plans as well as ...

The Marlin Alliance

Sr Machine Learning Engineer

San Diego, CA · On-site

$112K - $154K/yr

The Marlin Alliance, Inc. is seekinga talented and experienced Senior Machine Learning Engineer to ... Bachelor of Science degree in Artificial Intelligence, Data Science, Computer Science, Machine ...

Qualcomm

Principal Engineer

San Diego, CA · On-site

We are looking for a Machine Learning Engineer specializing in developing computer vision algorithms in the following domains: optical flow, depth estimation, visual tracking, multi-view geometry ...

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Showing results 21-40

All JobsComputer Vision Machine Learning Engineer JobsComputer Vision Machine Learning Engineer Jobs in San Diego, CA

Computer Vision Machine Learning Engineer information

See San Diego, CA salary details

$51.5K

$129K

$146K

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

As of Aug 7, 2026, the average yearly pay for computer vision machine learning engineer in San Diego, CA is $129,014.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,400.00 and $139,600.00 per year, depending on experience, location, and employer.

What are some common challenges computer vision machine learning engineers face when deploying models to production environments?

One common challenge for Computer Vision Machine Learning Engineers is ensuring that models perform reliably in real-world conditions, which can vary significantly from controlled training datasets. Handling data drift, optimizing inference speed for deployment on edge devices, and integrating models into existing software pipelines all require close collaboration with software engineers, data scientists, and product teams. Additionally, managing hardware resource constraints and maintaining model accuracy as new data is collected are ongoing responsibilities. Staying up to date with the latest research and tools is essential to address these evolving challenges effectively.

What is the difference between Computer Vision Machine Learning Engineer vs Data Scientist?

AspectComputer Vision Machine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, ML, or related; experience with CV frameworksBachelor's or Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops CV models, works with image/video data, often in AI/tech companiesAnalyzes data, builds predictive models, often in finance, healthcare, or tech
Industry UsageCommon in AI, robotics, autonomous vehicles, surveillanceUsed across finance, marketing, healthcare, and tech sectors

While both roles involve machine learning, Computer Vision Machine Learning Engineers focus on developing models for image and video data, often requiring specialized knowledge in CV frameworks. Data Scientists analyze diverse datasets to extract insights, with less emphasis on visual data. Both roles share foundational ML skills but differ in their application domains.

Are computer vision machine learning engineers in demand?

Computer vision machine learning engineers are in high demand due to the growth of AI applications in industries like healthcare, automotive, and security. Skills in deep learning frameworks such as TensorFlow or PyTorch and experience with image processing are highly valued, and the role often requires knowledge of data annotation and model deployment. The demand is expected to continue rising as companies increasingly adopt AI-driven visual analysis solutions.

What does a computer vision machine learning engineer do?

A Computer Vision Machine Learning Engineer designs and develops algorithms that enable computers to interpret and understand visual data from the world, such as images and videos. They use machine learning techniques to train models for tasks like object detection, facial recognition, and image segmentation. These engineers typically work with large datasets, optimize models for accuracy and efficiency, and deploy solutions for real-world applications in industries like healthcare, automotive, robotics, and retail.

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

To thrive as a Computer Vision Machine Learning Engineer, you need a strong background in computer science, mathematics, and machine learning, typically supported by a relevant degree and experience with image processing algorithms. Proficiency with frameworks like TensorFlow or PyTorch, knowledge of OpenCV, and experience with cloud computing platforms are commonly required. Problem-solving ability, teamwork, and effective communication are crucial soft skills for integrating complex models into real-world applications. These skills and qualities are essential for developing innovative solutions that accurately interpret visual data and drive impactful results.

How much do computer vision machine learning engineers make?

Computer vision machine learning engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in deep learning and neural networks can earn higher salaries, often exceeding $180,000.
What are popular job titles related to Computer Vision Machine Learning Engineer jobs in San Diego, CA? For Computer Vision Machine Learning Engineer jobs in San Diego, CA, the most frequently searched job titles are:
What job categories do people searching Computer Vision Machine Learning Engineer jobs in San Diego, CA look for? The top searched job categories for Computer Vision Machine Learning Engineer jobs in San Diego, CA are:
What cities near San Diego, CA are hiring for Computer Vision Machine Learning Engineer jobs? Cities near San Diego, CA with the most Computer Vision Machine Learning Engineer job openings:
Computer Vision Machine Learning Engineer jobs near you
Infographic showing various Computer Vision Machine Learning Engineer job openings in San Diego, CA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $129,014 per year, or $62 per hour.

Video Machine Learning Engineer, Audio & Media Technologies

Apple

San Diego, CA • On-site

Full-time

Re-posted 14 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

Imagine what you could do here! At Apple, new insights have a way of becoming extraordinary products, services, and customer experiences very quickly. We are seeking a passionate and innovative machine learning engineer to join a team that is shaping the future of video intelligence. Our team develops cutting-edge machine learning technologies and systems that power intelligent, interactive video experiences across Apple's products - including Photos, Camera, Spotlight, FaceTime, AirPlay, and TV+. This is your opportunity to push the boundaries of what's possible in video understanding, processing, and delivery, and to see your work come to life in products used by hundreds of millions of people worldwide.
Description
As a Video Machine Learning Algorithm Engineer on our team, you will be at the forefront of designing, developing, and deploying machine learning solutions that redefine how video is experienced across Apple's ecosystem. You will collaborate with a world-class group of researchers and engineers to tackle challenging problems in video processing and understanding - from crafting novel neural network architectures to optimizing models for on-device performance. Your work will span the full lifecycle of innovation: researching state-of-the-art techniques, prototyping new ideas, training and evaluating models, and shipping production-quality solutions that delight users. If you thrive at the intersection of deep learning research and real-world product impact, this role will give you the platform to do the best work of your career.
Minimum Qualifications
BS in Computer Science, Electrical Engineering, Machine Learning, or a related field
Strong foundation in deep learning and neural network design, including hands-on experience building, training, and deploying models.
Proficiency in one or more deep learning frameworks such as PyTorch or TensorFlow.
Experience with computer vision and/or image and video processing techniques.
Strong programming skills in Python and/or C/C++, with demonstrated ability to debug and solve complex technical problems.
Preferred Qualifications
MS or PhD in Computer Science, Electrical Engineering, Machine Learning, or a related field with a focus on video or visual computing.
Experience with video codec and compression techniques, including familiarity with standards such as H.264, H.265/HEVC, AV1, or VVC.
Knowledge of ML-based image and video codecs, including neural compression and learned representations.
Experience with diffusion models and generative approaches for image and video synthesis or enhancement.
Familiarity with advanced video quality metrics (e.g., VMAF, LPIPS, DISTS) and perceptual quality evaluation methodologies.
Experience optimizing and deploying neural networks on edge devices or mobile platforms.
Published research in top-tier venues (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML) in relevant areas.
Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apple logo

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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