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Computer Vision Machine Learning Engineer Jobs (NOW HIRING)

Meta

Computer Vision Engineer

Burlingame, CA

$183K/yr

... machine learning, haptics, social interaction, and more. RL is committed to driving the ... Computer Vision Engineer Responsibilities: * Lead the productization of CVML models for Surface ...

Meta

Computer Vision Engineer

Seattle, WA

$183K/yr

... machine learning, haptics, social interaction, and more. RL is committed to driving the ... Computer Vision Engineer Responsibilities: * Lead the productization of CVML models for Surface ...

Meta

Computer Vision Engineer

Sunnyvale, CA

$183K/yr

... machine learning, haptics, social interaction, and more. RL is committed to driving the ... Computer Vision Engineer Responsibilities: * Lead the productization of CVML models for Surface ...

Meta

Computer Vision Engineer

Redmond, WA

$183K/yr

... machine learning, haptics, social interaction, and more. RL is committed to driving the ... Computer Vision Engineer Responsibilities: * Lead the productization of CVML models for Surface ...

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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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 Jul 15, 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 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.

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, 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.
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Computer Vision Machine Learning Engineer jobs near you
Computer Vision and Machine Learning Engineer

Computer Vision and Machine Learning Engineer

Apple

Sunnyvale, CA • On-site

$130K - $154K/yr

Full-time

Re-posted 14 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 670 frontline employees who took The Breakroom Quiz

5th of 30 rated technology retailers

Job description

The Video Computer Vision org is a centralized applied research and engineering team responsible for developing real-time on-device Computer Vision and Machine Perception technologies across Apple products. We have contributed to the algorithms driving FaceID and FaceKit in the past and more recently to the new Apple Vision Pro and Spatial Computing. As a member of the Video Computer Vision group you will perform cutting-edge artificial intelligence research that will craft the future of spatial computing.
We are looking for the right 3D Computer Vision and Machine Learning Engineer to help us take our efforts to the next level. You will be part of a community of researchers and engineers who are passionate about pushing the boundaries of what is possible with spatial media and AI. We value a culture of learning, intellectual curiosity, and exploration, and we believe that your passion and expertise will help us create revolutionary products that delight and inspire millions of people every day.
Description
We are looking for a proactive Computer Vision and Machine Learning Engineer to join our team and help design and implement algorithms for spatial media and AI. The ideal candidate should have experience with 3DCV, rendering techniques and machine learning and be passionate about bringing algorithms from research all the way to product.
In this position, you will work along side computer vision and machine learning researchers to implement world class algorithms that pushes the state of the art and resonate with our users at a personal level.
Minimum Qualifications
Proficient in C/C++, CUDA or other GPGPU
Expertise in at least one deep learning framework, eg: PyTorch, TensorFlow, or Jax
Solid foundation in 3D graphics and computer vision
Understanding of machine learning technology
Bachelor degree and a minimum of 3 years relevant industry experience
Preferred Qualifications
Swift is a plus
Be able to work independently and with others
Excellent problem-solving, critical thinking, and communication skills
Passion for cutting edge AI and spatial computing technologies and product delivery

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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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