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Computer Vision Machine Learning Engineer Jobs (NOW HIRING)

The Role We're looking for a Machine Learning Engineer with deep computer vision experience to join our ML team. Contractors capture millions of jobsite photos through CompanyCam every day. As an ML ...

You'll implement computer vision machine learning applications using existing and emerging ... You'll also mentor other engineers and develop your technical knowledge and skills to keep our team ...

You'll implement computer vision machine learning applications using existing and emerging ... You'll also mentor other engineers and develop your technical knowledge and skills to keep our team ...

You'll implement computer vision machine learning applications using existing and emerging ... You'll also mentor other engineers and develop your technical knowledge and skills to keep our team ...

You'll implement computer vision machine learning applications using existing and emerging ... You'll also mentor other engineers and develop your technical knowledge and skills to keep our team ...

Study and innovate in computer vision/machine learning and its application in cloud environment ... Skills with C/C++ or other programming language, as well as Python or other similar scripting ...

Machine Learning/Computer Vision Engineer

Sunnyvale, CA · On-site

$130.90K - $154.30K/yr

We are looking for a skilled Machine Learning/Computer Vision Engineer with hands-on experience developing algorithms for human understanding and human intelligence applications.Responsibilities ...

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Computer Vision Machine Learning Engineer information

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$48.5K

$121.5K

$137.5K

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

As of Jun 4, 2026, the average yearly pay for computer vision machine learning engineer in the United States is $121,515.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $131,500.00 per year, depending on experience, location, and employer.

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

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.

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 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.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) working in computer vision develop and deploy AI models, but AI is a tool that enhances their work rather than replacing the role entirely. MLEs are needed to design, optimize, and maintain complex systems, especially when integrating new algorithms or handling data preprocessing. AI automation can assist with tasks, but human expertise remains essential for innovation and troubleshooting in the field.

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.

More about Computer Vision Machine Learning Engineer jobs
What cities are hiring for Computer Vision Machine Learning Engineer jobs? Cities with the most Computer Vision Machine Learning Engineer job openings:
What states have the most Computer Vision Machine Learning Engineer jobs? States with the most job openings for Computer Vision Machine Learning Engineer jobs include:
Infographic showing various Computer Vision Machine Learning Engineer job openings in the United States as of May 2026, with employment types broken down into 2% As Needed, 36% Full Time, 54% Part Time, 2% Temporary, 4% Contract, and 2% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $121,515 per year, or $58.4 per hour.
Computer Vision / Machine Learning Engineer - 3D Reconstruction

Computer Vision / Machine Learning Engineer - 3D Reconstruction

Apple

Sunnyvale, CA • On-site

$126.80K - $190.90K/yr

Full-time

Medical, Dental, Retirement

Posted 28 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something - you’ll add something.
The Video Computer Vision organization is working on breakthrough technologies for future Apple products. Our team delivers cutting-edge AI, machine learning, computer vision and graphics algorithms that power technologies including human understanding, perception, digital humans, AI agents and health applications. In this role, you will collaborate with world-class experts in AI, ML, Software, and Hardware to tackle fundamental challenges in human-centric solutions that will impact millions of users across Apple's ecosystem.
Description
We are seeking a CVML Engineer with knowledge in multi-view geometry and modern machine learning approaches. In this role, you will research, adapt, and implement state-of-the-art 3D and 4D reconstruction algorithms for human understanding and AI health applications, designing novel approaches that combine classical geometry with modern deep learning techniques. You will collaborate with cross-functional teams to define requirements and validation frameworks. You will work on production-ready code while driving technical innovation for health and human intelligence applications and optimize algorithms for deployment on Apple silicon on mobile devices. The ideal candidate will demonstrate passion for pushing the boundaries of 3D and 4D computer vision, with ability to translate academic innovations into shipping products, bring a collaborative approach to solving complex technical challenges, and maintain commitment to engineering excellence and clean, maintainable code.
Preferred Qualifications
MS in computer vision, computer graphics, machine learning, computer science, computer engineering or related fields.
Experience with human-centric 3D and 4D reconstruction approaches, datasets and evaluation methodology.
Deep understanding of multi-view geometry, camera calibration and 3D reconstruction pipelines.
Experience optimizing ML models for mobile deployment and resource-constrained environments.
Minimum Qualifications
Minimum requirement of a bachelors degree.
Experience developing 3D and/or 4D computer vision algorithms and systems.
Proficiency in Python and PyTorch with strong software engineering practices.
Mathematical foundation in linear algebra, optimization and geometry processinMathematical foundation in linear algebra, optimization and geometry processing.
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 $126,800 and $190,900, 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