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Computer Vision Deep Learning Jobs (NOW HIRING)

Harnham

Computer Vision Manager

Manhattan, NY · On-site

$300K/yr

... deep learning, or applied ML * Minimum 2+ years in a management role with proven team or project leadership * Hands-on expertise with frameworks such as PyTorch or TensorFlow * Solid track record ...

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All JobsComputer Vision Deep Learning Jobs

Computer Vision Deep Learning information

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$33.5K

$48.3K

$63.5K

How much do computer vision deep learning jobs pay per year?

As of Jun 25, 2026, the average yearly pay for computer vision deep learning in the United States is $48,298.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,000.00 and $55,500.00 per year, depending on experience, location, and employer.

What is computer vision deep learning?

Computer vision deep learning is a field of artificial intelligence that leverages deep neural networks to enable computers to interpret and understand visual information from the world, such as images and videos. By using deep learning techniques, such as convolutional neural networks (CNNs), systems can perform tasks like image classification, object detection, and facial recognition with high accuracy. This technology is widely applied in industries including healthcare, automotive, and security for tasks ranging from medical image analysis to autonomous driving.

What are some common challenges faced in a Computer Vision Deep Learning role, and how can they be addressed?

Professionals in Computer Vision Deep Learning often face challenges such as managing large, complex datasets, ensuring high model accuracy, and dealing with real-world variability in images or video. Addressing these issues typically involves data augmentation, careful preprocessing, and the use of advanced architectures like CNNs and transformers. Collaboration with data engineers and domain experts is essential to ensure data quality and to tailor solutions to specific use cases. Additionally, staying updated with the latest research and tools can help in overcoming technical hurdles and enhancing model performance.

What is the difference between Computer Vision Deep Learning vs Computer Vision Engineer?

AspectComputer Vision Deep LearningComputer Vision Engineer
Required CredentialsBachelor's or higher in CS, AI, or related fields; knowledge of deep learning frameworksBachelor's or higher in CS or related fields; experience with computer vision algorithms
Work EnvironmentResearch labs, AI startups, tech companies focusing on AI modelsSoftware development teams, product companies, tech firms applying computer vision
Employer & Industry UsageAI research, academia, companies developing deep learning models for vision tasksProduct development, application of computer vision in real-world projects

Computer Vision Deep Learning specialists focus on developing and applying deep learning models for visual data analysis, often involving research and model training. In contrast, Computer Vision Engineers implement and optimize computer vision algorithms within products and applications, emphasizing deployment and practical use. Both roles require a strong foundation in computer vision, but their focus areas and work environments differ.

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

To thrive as a Computer Vision Deep Learning Engineer, you need a strong background in mathematics, programming (especially Python), and deep learning concepts, often supported by a degree in computer science or a related field. Proficiency with frameworks like TensorFlow, PyTorch, OpenCV, and experience using GPU computing are highly valued, along with relevant certifications in machine learning or artificial intelligence. Strong analytical thinking, creative problem-solving, and effective communication skills set top candidates apart in this role. These competencies are essential for developing, optimizing, and deploying innovative computer vision solutions that address complex real-world challenges.
More about Computer Vision Deep Learning jobs
What job categories do people searching Computer Vision Deep Learning jobs look for? The top searched job categories for Computer Vision Deep Learning jobs are:
Computer Vision Deep Learning jobs near you
Infographic showing various Computer Vision Deep Learning job openings in the United States as of June 2026, with employment types broken down into 48% Full Time, 18% Part Time, and 34% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $48,298 per year, or $23.2 per hour.
Software Engineer, Computer Vision and Deep Learning

Software Engineer, Computer Vision and Deep Learning

Mashgin

Palo Alto, CA • On-site

$225K - $350K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

About Mashgin
Mashgin powers the world's best checkout experience for over 40 million users. Customers just place their items on our kiosks and our AI rings up their entire order in less than a second. With Mashgin, lines are now optional.

Mashgin's technology powers over 1 billion transactions at your favorite locations, including over half of all US professional sports teams, 4,000 convenience stores, major airports, universities, and more.

We’re not just building cutting-edge AI—we’re creating real-world impact and unforgettable experiences. Backed by a well-funded Series B, we’re also one of the rare AI startups that’s already profitable.

Our secret? A culture of extreme ownership, autonomy, and customer obsession. At Mashgin, we are building something extraordinary by challenging conventional wisdom. We’ve thrown out the old rules to focus on what truly matters: creating a kickass product that makes people say, 'Wow'. We don’t care about short-term wins; we build systems that stand the test of time. If you thrive in a culture of excellence without compromise and want to see your work have an immediate, remarkable impact, you’re in the right place.

Position Summary
Mashgin is looking for a passionate Computer Vision engineer who loves solving everyday vision problems. Someone who is regularly saying to themselves “This could be done with computer vision!” and who loves experimenting with new algorithms. You’ll work on a small dynamic team to design and implement cutting edge Computer Vision algorithms that will be used everyday by our customers.
 
We maintain a flat, high-impact engineering culture where every engineer who joins our team carries the title of Member of Technical Staff.
You Will Be
  • Developing new computer vision algorithms with founders in C/C++ and Python for solving challenging real-world problems
  • Coming up with large scale data collection techniques for training Deep Neural Nets
  • Driving the development of new algorithms that dramatically improve our existing methods
  • Researching and maintaining state-of-the-art ML/CV algorithms that can analyze images
  • Coding full-stack building products from end to end
Minimum Qualifications
  • 5+ years relevant coding experience
  • Masters degree in Computer Science or related field
  • Strong background in Computer Vision
  • Exposure to new Deep Learning techniques for image recognition
Preferred Qualifications
  • MS/PhD degree or equivalent practical experience in Computer Science, AI, Machine Learning, or related technical field
  • Experience with Python or C/C++ in a Linux environment
  • Knowledge and experience in application of Deep Learning to Computer Vision problems
  • Real-world experience building Computer Vision systems
What We Offer
  • An opportunity to work on a small, multidisciplinary team with the potential to break new ground in many different industries
  • Excellent health, dental and vision insurance for you and your dependents
  • 401k plan
  • Flexible PTO policy
  • Catered lunch in office with fully stocked snacks and beverages
  • Pet insurance for your fur babies
  • Voluntary life insurance plan
  • Competitive salary and options in a small, rapidly scaling company
For roles based in Palo Alto, CA, the overall market range for Mashgin is typically $225,000 - $350,000 USD annually. Note that total compensation for this position will be determined by candidate’s relevant qualifications, work experience, skills, and other relevant factors. This estimate excludes the value of any benefits offered by Mashgin, and the potential future value of any other long-term incentives.
Mashgin is proud to be an equal opportunity employer. Individuals seeking employment at Mashgin are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. 

Notice on fraudulent jobs
We have been made aware of instances of fraudulent job postings and/or fraudulent recruiting activity by bad actors, claiming to represent Mashgin. These fraudulent schemes often seek monetary contributions or payments from job seekers (such as for "start up costs" or "equipment"), or seek to collect sensitive personal or banking information from job seekers. These job postings and offers are not authorized by Mashgin, and Mashgin is not responsible for fraudulent offers or requests for personal information or payments. Mashgin will never ask for any financial commitment or contribution from a candidate at any stage of the recruitment process. Candidates who have questions about the validity of Mashgin job postings or offers should consult the job postings on our mashgin.com career site. If you think you've been scammed, please reference this site for more information.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.