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Temporary Computer Vision Deep Learning Engineer Jobs

XPENG

Senior Computer Vision Engineer

Santa Clara, CA · On-site

$143.80K - $189.60K/yr

We are seeking a talented Computer Vision / Machine Learning Engineer to develop and optimize multi ... with deep learning frameworks (e.g., PyTorch, TensorFlow) and computer vision libraries (e.g ...

Norbert Health

Computer Vision/ML Engineer

Brooklyn, NY · On-site

$117.20K - $138.30K/yr

The position We are looking for our lead deep learning engineer to spearhead the development of our ... What you will do: * Design, fine-tune, and deploy computer vision models (YOLO, InsightFace ...

Zensors

AI/ML Infrastructure Engineer

San Francisco, CA · On-site

$126.70K - $166.10K/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 ...

Norbert Health

Computer Vision/ML Engineer

New York, NY · On-site

$122K - $143.90K/yr

The position We are looking for our lead deep learning engineer to spearhead the development of our ... What you will do: * Design, fine-tune, and deploy computer vision models (YOLO, InsightFace ...

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Temporary Computer Vision Deep Learning Engineer information

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$48.5K

$121.5K

$137.5K

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

As of May 31, 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.

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.

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:
Temporary Computer Vision Deep Learning Engineer jobs near you
Infographic showing various Temporary Computer Vision Deep Learning Engineer job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 77% Full Time, 17% Part Time, 1% Temporary, and 4% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $121,515 per year, or $58.4 per hour.

Computer Vision & Machine Learning Engineer

Allen Control Systems

Austin, TX • On-site

$110.50K - $130.30K/yr

Full-time

Posted 17 hours ago

Job description

Job Summary:
Allen Control Systems (ACS) is a cutting-edge defense startup focused on developing autonomous systems. The Computer Vision & Machine Learning Engineer will work on developing and optimizing algorithms for drone detection and tracking, collaborating with engineers to integrate these systems into hardware.
Responsibilities:
• Development and optimization of computer vision algorithms for our autonomous gun turret, focusing on real-time drone detection, tracking, and classification.
• Design and implement machine learning models that can operate in resource-constrained environments while maintaining high accuracy and reliability.
• Collaborate closely with electrical engineers to integrate computer vision systems into the turret's hardware architecture.
• Conduct extensive testing and validation of computer vision algorithms in various scenarios to ensure robustness and performance under different environmental conditions.
• Contribute to the hardening of the prototype turret into a military-grade system, and assist in developing variants for different weapon systems and engagement ranges.
Qualifications:
Required:
• Deep passion for machine learning, computer vision, and robotics, and have been exploring these areas since early in your career.
• At least a Bachelor's degree in Computer Science, Electrical Engineering, or a related field, with a strong focus on machine learning and computer vision.
• 4-7+ years of experience working on machine-learning-based computer vision, ideally in the context of robotics.
• A proven track record of developing and deploying computer vision systems, ideally in real-time or safety-critical applications.
• Proficient in Python, C++, and have experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.
• Experience with embedded systems and integrating computer vision algorithms into hardware.
• Familiar with various sensors (e.g., cameras, LIDAR, RADAR) and their integration into autonomous systems.
• You enjoy collaborating with other engineers to solve complex technical challenges.
Company:
Allen Control Systems is a robotics defense company that develops counter-drone technology for the U.S. and its allied forces. Founded in 2022, the company is headquartered in Austin, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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