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Full Time Computer Vision Deep Learning Engineer Jobs

Deep Learning Engineer

Palo Alto, CA · On-site

$170K - $300K/yr

About Matroid Matroid is a full-service computer vision company that has developed an end-to-end ... We are looking for a world-class Deep Learning Software Engineer who is excited to operate at the ...

Senior Deep Learning Engineer - Perception

San Jose, CA · On-site

$123K - $169K/yr

Senior Deep Learning Engineer, Computer Vision imagry.E4.E30@comeetapply.com Location: San Jose, CA , On Site We are looking for a capable and experienced Sr. Deep Learning Engineer to join our R&D ...

Senior Deep Learning Engineer - Perception

San Jose, CA · On-site

$123K - $169K/yr

Description Senior Deep Learning Engineer, Computer Vision imagry.E4.E30@comeetapply.com Location: San Jose, CA , On Site We are looking for a capable and experienced Sr. Deep Learning Engineer to ...

The Carbon Robotics LaserWeeder™ leverages advanced robotics, computer vision, AI/deep learning ... We offer competitive compensation and benefits to our full time US based* employees, including:

As a Deep Learning Engineer, you will design, develop, and deploy deep learning systems for ... for computer vision in agricultural environments • Own model optimization and deployment ...

The Carbon Robotics LaserWeeder™ leverages advanced robotics, computer vision, AI/deep learning ... We offer competitive compensation and benefits to our full time US based* employees, including:

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Full Time Computer Vision Deep Learning Engineer information

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$48.5K

$121.5K

$137.5K

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

As of Jun 19, 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.

Machine Learning Engineer

PROPRIUS

San Francisco, CA

Full-time

Posted 5 days ago


Job description

Machine Learning Engineer

Location: San Francisco, CA

Sponsorship: No

Relocation: No

Industry: Machine Learning

Join an artificial intelligence company in San Francisco that excels at visual recognition and is looking for a new ML engineer to join their team. Become part of a collaborative team that tackles research problems through a process of prototyping, implementation, measurement, and iteration. You will implement state-of-the-art deep learning techniques to help develop innovative AI products.

As a ML Engineer, you will:

  • Work with the research team to improve the visual search products
  • Train models with curated data to evaluated and ultimately improve performance
  • Deploy production-ready models to customers
  • Help maintain the machine learning infrastructure

For this role you will need:

  • MS. Degree
  • Experience with Python
  • Computer Vision or NLP experience
  • Experience debugging complex systems.
  • (Kuberentes or Docker experience would be a plus).

This is an amazing opportunity to join a team and work on large projects using powerful computer vision/deep learning technology.

PROPRIUS is an AI Industry recruiting firm. We’re lucky enough to recruit the best candidates into the most exciting companies all over the United States. We deliver performance.