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Temporary 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 ...

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 ...

... deep learning architectures for computer vision in agricultural environments * Own model ... Partner with Engineering and Product Management to scope, prioritize, and deliver high-impact ...

The Carbon Robotics LaserWeederâ„¢ leverages advanced robotics, computer vision, AI/deep learning ... Partner with Engineering and Product Management to scope, prioritize, and deliver high-impact ...

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 ...

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Temporary Computer Vision Deep Learning Engineer information

See salary details

$48.5K

$121.5K

$137.5K

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

As of Jun 20, 2026, the average yearly pay for temporary 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.

Can I learn ML in 3 months?

A Temporary Computer Vision Deep Learning Engineer typically requires a strong understanding of machine learning concepts, programming skills in Python, and experience with frameworks like TensorFlow or PyTorch. While it is possible to learn foundational skills in three months with intensive study, gaining proficiency for a professional role usually takes longer and involves practical experience and project work.

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

AspectTemporary Computer Vision Deep Learning EngineerComputer Vision Engineer
CredentialsBachelor's or Master's in CS, AI, or related; experience with deep learning frameworksBachelor's or Master's in CS, AI, or related; experience with computer vision tools
Work EnvironmentProject-based, short-term contracts, often in tech or research firmsFull-time, ongoing roles in tech companies, startups, or research labs
Industry UsageCommon in consulting, research projects, or temporary assignmentsStandard role in product development, AI solutions, and software engineering

The main difference is that a Temporary Computer Vision Deep Learning Engineer works on short-term projects focusing on deep learning techniques for computer vision, while a Computer Vision Engineer typically holds a permanent position involved in ongoing development of computer vision applications. The temporary role emphasizes flexibility and project-specific skills, whereas the full-time role involves continuous integration into a company's long-term projects.

Is ML a high paying job?

Machine learning (ML) roles, including positions like a computer vision deep learning engineer, are generally well-paid due to high demand for specialized skills in AI, data analysis, and programming. Salaries vary based on experience, location, and industry, but these roles tend to offer above-average compensation compared to many other tech jobs.

Is computer vision a dead field?

Computer vision remains a vibrant and evolving field with ongoing research and practical applications, especially in areas like autonomous vehicles, medical imaging, and security. For a Temporary Computer Vision Deep Learning Engineer, skills in deep learning frameworks such as TensorFlow or PyTorch and knowledge of image processing are essential, and demand continues to grow as technology advances.

What engineers make $500,000?

Senior engineers in specialized fields such as software, data science, or machine learning can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries. Roles like senior software engineers, machine learning engineers, and data scientists working in tech companies or finance often reach this compensation level through base salary, bonuses, and stock options.
More about Temporary Computer Vision Deep Learning Engineer jobs
What cities are hiring for Temporary Computer Vision Deep Learning Engineer jobs? Cities with the most Temporary 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 states have the most Temporary Computer Vision Deep Learning Engineer jobs? States with the most job openings for Temporary Computer Vision Deep Learning Engineer jobs include:
What job categories do people searching Temporary Computer Vision Deep Learning Engineer jobs look for? The top searched job categories for Temporary Computer Vision Deep Learning Engineer jobs are:
Infographic showing various Temporary Computer Vision Deep Learning Engineer job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 1% As Needed, 58% Full Time, 36% Part Time, 2% Contract, and 2% Nights. 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 6 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.