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Full Time Computer Vision Deep Learning Engineer Jobs

ISEE is seeking a full-time Machine Learning Engineer to join our team. The ideal candidate has ... in deploying Computer Vision/Deep learning algorithms in real-world scenarios. * Robotics ...

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 ...

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:

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:

Senior Deep Learning Engineer

New York, NY · On-site

$114.30K - $157K/yr

We're looking for a Senior Deep Learning Engineer with extensive experience in modern neural network techniques and PyTorch to help us push the boundaries of computer vision in real-world ...

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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 May 30, 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 May 2026, with employment types broken down into 3% As Needed, 25% Full Time, 69% Part Time, and 3% Contract. Highlights an 75% Physical, 8% Hybrid, and 17% Remote job distribution, with an average salary of $121,515 per year, or $58.4 per hour.
Machine Learning Engineer

Machine Learning Engineer

ISEE

Remote

Full-time

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


Job description

ISEE is seeking a full-time Machine Learning Engineer to join our team. The ideal candidate has several years of work experience.
Role responsibilities include:
  • Working on the intersection of sensing and perception algorithms.
  • Prototyping and deploying robust computer vision algorithms on ISEE's vehicle fleet in areas of: Sensor calibration, localization and mapping, fusion, tracking and pattern recognition.
  • Benchmarking and maintaining developed modules.
  • Work independently to deliver high-quality code in a timely fashion.
  • Collaborate with team for testing, evaluation and review of code.

Required Qualifications
  • Degree in Computer Science, Electrical Engineering, Robotics or related field.
  • Experience in deploying deep learning models at scale on real-world data in at least one of these deep learning frameworks: PyTorch, Tensorflow, Caffe.
  • Hands-on experience with developing, training and deploying deep learning models in multimodal (sensors space and temporal) real world data.
  • Strong Python and/or C++ skills.
  • Passionate about self-driving vehicles and real-world robotic solutions.
  • Strong presentation and communication skills.

Preferred
  • Publication record in top-tier computer vision or machine learning conferences.
  • 3+ yrs industrial experience in deploying Computer Vision/Deep learning algorithms in real-world scenarios.
  • Robotics/autonomous experience is a plus.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.