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Full Time Computer Vision Deep Learning Engineer Jobs

AI/ML Infrastructure Engineer

San Francisco, CA · On-site

$126K - $166K/yr

As a Machine Learning Engineer in ML Runtime & Optimization , you will develop technologies to ... Work in Computer Vision , Deep Learning, and Vision Transformers. * Experience with video ...

Machine Learning Engineer Job Summary We are seeking a Machine Learning Engineer with strong expertise in machine learning, deep learning, and computer vision. The ideal candidate will have ...

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Full Time Computer Vision Deep Learning Engineer information

See salary details

$48.5K

$121.5K

$137.5K

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

As of Jun 20, 2026, the average yearly pay for full time computer vision deep 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 is the difference between Full Time Computer Vision Deep Learning Engineer vs Machine Learning Engineer?

AspectFull Time Computer Vision Deep Learning EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, AI, or related; experience with CV and DL frameworksBachelor's or Master's in CS, Data Science, or related; strong programming skills
Work EnvironmentResearch labs, tech companies, AI startups focusing on visual dataTech firms, finance, healthcare, focusing on predictive models
Industry UsagePrimarily in computer vision, robotics, autonomous vehiclesBroader, including NLP, recommendation systems, predictive analytics

The main difference is that Full Time Computer Vision Deep Learning Engineers specialize in visual data analysis using deep learning, while Machine Learning Engineers work on a wider range of predictive models across various data types. Both roles require strong programming skills and knowledge of ML frameworks, but their focus areas and applications differ.

More about Full Time Computer Vision Deep Learning Engineer jobs
What cities are hiring for Full Time Computer Vision Deep Learning Engineer jobs? Cities with the most Full Time Computer Vision Deep Learning Engineer job openings:
What are the most commonly searched types of Computer Vision Deep Learning Engineer jobs? The most popular types of Computer Vision Deep Learning Engineer jobs are:
What job categories do people searching Full Time Computer Vision Deep Learning Engineer jobs look for? The top searched job categories for Full Time Computer Vision Deep Learning Engineer jobs are:
Infographic showing various Full Time Computer Vision Deep Learning Engineer job openings in the United States as of June 2026, with employment types broken down into 76% Full Time, 10% Part Time, and 14% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $121,515 per year, or $58.4 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

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


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

$225,000 - $350,000 a year
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.