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Computer Vision Machine Learning Jobs (NOW HIRING)

CompanyCam

Machine Learning Engineer - Computer Vision

$220K - $250K/yr

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 ...

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How much do computer vision machine learning jobs pay per hour?

As of May 30, 2026, the average hourly pay for computer vision machine learning in the United States is $19.92, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $21.88 per hour, 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 strong foundations in mathematics, programming (especially Python or C++), and expertise in machine learning algorithms, typically supported by a degree in computer science, engineering, or a related field. Familiarity with deep learning frameworks like TensorFlow or PyTorch and experience with image processing libraries are essential, along with knowledge of version control systems. Strong problem-solving, collaboration, and communication skills help you translate complex requirements into effective models and work efficiently in multidisciplinary teams. These skills ensure the development of robust computer vision solutions that address real-world challenges and drive innovation.

What are some common challenges faced by Computer Vision Machine Learning engineers when deploying models to production environments?

Computer Vision Machine Learning engineers often encounter challenges such as ensuring models perform well on real-world, diverse image data that may differ from training datasets. Managing computational efficiency and latency is crucial, especially for real-time applications. Additionally, integrating models with existing software systems and maintaining accuracy as data evolves can be complex. Collaboration with data engineers, software developers, and product teams is essential to address these challenges and ensure smooth deployment and monitoring.

What is a Computer Vision Machine Learning Engineer?

A Computer Vision Machine Learning Engineer is a professional who develops algorithms and models that enable computers to interpret and understand visual data from the world, such as images and videos. They use techniques from machine learning, deep learning, and image processing to build systems capable of tasks like object detection, image classification, facial recognition, and scene understanding. Their work is critical in fields such as autonomous vehicles, healthcare imaging, security, and augmented reality. These engineers typically have strong skills in programming, mathematics, and data analysis, and often work closely with data scientists and software developers.

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

AspectComputer Vision Machine LearningData Scientist
Required CredentialsBachelor's or higher in CS, ML, or related; experience with ML frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentResearch labs, tech companies, AI startups focusing on visual dataBusiness, finance, healthcare sectors analyzing diverse data sets
Industry UsageDeveloping visual recognition systems, image processingData analysis, predictive modeling, business insights
Common Search/ComparisonYesYes

While both roles involve machine learning, Computer Vision Machine Learning specializes in visual data and image processing, whereas Data Scientists work with a broader range of data types to generate insights across various industries.

More about Computer Vision Machine Learning jobs
What cities are hiring for Computer Vision Machine Learning jobs? Cities with the most Computer Vision Machine Learning job openings:
What states have the most Computer Vision Machine Learning jobs? States with the most job openings for Computer Vision Machine Learning jobs include:
What job categories do people searching Computer Vision Machine Learning jobs look for? The top searched job categories for Computer Vision Machine Learning jobs are:
Computer Vision Machine Learning jobs near you
Infographic showing various Computer Vision Machine Learning job openings in the United States as of May 2026, with employment types broken down into 3% As Needed, 94% Full Time, and 3% Part Time. Highlights an 94% Physical, and 6% Remote job distribution, with an average salary of $41,429 per year, or $19.9 per hour.
Senior Computer Vision Machine Learning Engineer, Apple Wallet

Senior Computer Vision Machine Learning Engineer, Apple Wallet

Apple

Austin, TX

$181.10K - $318.40K/yr

Full-time

Medical, Dental, Retirement

Posted 21 hours 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

Join a dynamic AI and Machine Learning team focused on protecting millions of users from fraud and securing their identity every day. We operate at the intersection of cutting-edge research and production systems, collaborating across Apple-from other ML teams to Operations to Engineering-with strong leadership support and investment in our mission-critical work.
We value continuous learning, intellectual curiosity, and commitment to excellence while maintaining focus on user privacy and security
Description
You will work on cutting edge computer vision technology in the field of facial recognition and adversarial object detection. You'll contribute to computer vision initiatives that directly protect users from fraud and identity theft, combining applied research with production deployment. This role offers the unique opportunity to see your work from methodology through implementation, with the autonomy to make meaningful technical decisions in a supportive, high-visibility environment.","responsibilities":"Bring computer vision expertise and industry best practices to strengthen team capabilities
Collaborate on advanced computer vision projects, particularly in face recognition and facial expression/spoofing detection
Deliver on roadmap commitments while identifying innovative approaches for model improvement
Mentor early-career engineers, supporting their growth and project success
Partner with cross-functional stakeholders, translating complex technical concepts and instilling trust
Contribute to roadmap planning and execution, bringing industry best practices and novel architectural approaches
Practice thoughtful prioritization and alignment in a high-opportunity environment while embracing Apple’s core principles around privacy, security and the customer experience
Preferred Qualifications
PyTorch, TorchVision or similar expertise in vision-specific libraries and toolkits
Background in security/security engineering, fraud detection, or edge ML deployment
Real-time decisioning systems
Face recognition or biometric security applications
M.S. or PhD in computer science, machine learning, or a related field or equivalent practical experience.
Minimum Qualifications
Strong foundation in computer vision techniques and machine learning
Proven mentorship experience with demonstrated positive outcomes
Clear technical communication skills across a range of audiences
Strong programming abilities in Python plus at least one additional language
5+ years of relevant experience in Computer Vision Machine Learning
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 $181,100 and $318,400, 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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