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Computer Vision Deep Learning Engineer Jobs (NOW HIRING)

Machine Learning Engineer Location: San Francisco, CA Sponsorship: No Relocation: No Industry ... computer vision/deep learning technology. PROPRIUS is an AI Industry recruiting firm. We're lucky ...

$125 - $150/hr

United States Role Summary We are seeking a highly skilled Computer Vision Engineer to design ... Optimize deep learning models for edge deployment using hardware acceleration to meet strict cycle ...

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 ...

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 ...

Deep Learning Engineer

Palo Alto, CA · On-site

$150 - $200/hr

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

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 ...

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 ...

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

Sr. Computer Vision Engineer

Herndon, VA · On-site

$107K - $147K/yr

Job Summary : 1872 Consulting is seeking a Senior Computer Vision Engineer to design and implement ... deep learning for next-generation satellite imagery analytics • Plan and conduct research in ...

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Computer Vision Deep Learning Engineer information

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$48.5K

$121.5K

$137.5K

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

As of Sep 8, 2026, the average yearly pay for 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 a computer vision deep learning engineer?

A Computer Vision Deep Learning Engineer designs, develops, and optimizes deep learning models for tasks like image recognition, object detection, and segmentation. They work with large datasets, train neural networks, and fine-tune models to achieve high accuracy. The role involves using frameworks like TensorFlow or PyTorch, implementing computer vision algorithms, and deploying models for real-world applications. Strong programming skills in Python and experience with deep learning techniques are essential.

What are the key skills and qualifications needed to thrive as a computer vision deep learning engineer?

To thrive as a Computer Vision Deep Learning Engineer, you need a strong background in machine learning, computer vision, mathematics, and programming (usually Python or C++), often supported by a relevant degree such as computer science, electrical engineering, or a related field. Experience with frameworks like TensorFlow, PyTorch, OpenCV, and familiarity with cloud computing environments or GPU acceleration are typically essential, with additional value from certifications in AI or deep learning. Strong problem-solving abilities, teamwork, and clear communication are valuable soft skills for collaborating on complex research and product development projects. These skills and qualifications ensure effective design, implementation, and integration of state-of-the-art computer vision solutions within multidisciplinary teams and real-world applications.

What are some typical challenges faced by computer vision deep learning engineers in their daily work?

Computer Vision Deep Learning Engineers often face challenges such as handling large, complex datasets, tuning deep learning models to achieve high accuracy, and optimizing processing speed for real-time applications. They may encounter difficulties with noisy or incomplete data, require advanced troubleshooting when models underperform, and must stay updated with rapid advancements in the field. Collaboration with data scientists, software engineers, and product teams is common, so balancing technical depth with effective communication is key. Overcoming these challenges requires strong analytical skills, continuous learning, and a proactive problem-solving mindset.

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Infographic showing various Computer Vision Deep Learning Engineer job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 77% Full Time, 16% Part Time, and 6% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $121,515 per year, or $58.4 per hour.

Computer Vision/Deep Learning Scientist

Atlanta, GA • On-site

Visionaire Partners
11 - 50 employees

Other

Medical, Dental, Vision, Life, Retirement

Posted 13 days ago


Job description

Computer Vision/Deep Learning Scientist

Location: Midtown Atlanta, GA (Hybrid: 2 days in-office; fully remote available for candidates outside the metro area)

Schedule: 6-Month Contract

We are seeking a Computer Vision/Deep Learning Scientist to collaborate across multi-functional business units, translating complex enterprise challenges into high-impact solutions. You will design, build, and deploy custom algorithms while managing the complete lifecycle from initial concepts through post-production monitoring.

Responsibilities:

  • Design, evaluate, and deploy production-ready computer vision and deep learning models.

  • Conduct end-to-end model development: requirements gathering, data evaluation, testing, and lifecycle maintenance.

  • Execute advanced techniques including image segmentation, augmentation, localization, object detection, and classification.

  • Run parallelized models on dedicated GPU clusters.

  • Mentor junior team members, guide targeted research initiatives, and assist with candidate interviews.

  • Present technical findings clearly to cross-functional partners and leadership.

Requirements:

  • 1 3+ years of relevant industry experience.

  • Strong proficiency in Python alongside frameworks like PyTorch, TensorFlow, Keras, MXNet, and OpenCV.

  • Familiarity with modern CNN architectures (e.g., ResNet, VGG16, MobileNet) and traditional image processing (skimage).

  • Degree in CS, Math, EE, Statistics, or a related field.

  • Must be authorized to work in the U.S. without sponsorship.

Offered through Visionaire Partners: Full-time W2 contractors access a comprehensive benefits package for themselves and dependents (including domestic partners). Options feature a 401(k) with up to 4% match, medical, dental, vision, life, disability, critical illness, hospital indemnity, accident coverage, and Medical/Dependent Care FSAs. On-site perks include a modern office near MARTA with covered parking and premium amenities