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Computer Vision Deep Learning Engineer Jobs (NOW HIRING)

Aivra Health LLC

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... Computer Vision * Deep Learning * Transformers * LLM fundamentals Cloud & MLOps * AWS (SageMaker ...

Aivra Health LLC

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... Computer Vision * Deep Learning * Transformers * LLM fundamentals Cloud & MLOps * AWS (SageMaker ...

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

As of May 30, 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 job?

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 in the Computer Vision Deep Learning Engineer position, and why are they important?

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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Computer Vision Deep Learning Engineer jobs near you
Infographic showing various Computer Vision Deep Learning Engineer job openings in the United States as of May 2026, with employment types broken down into 3% As Needed, 95% Full Time, 1% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $121,515 per year, or $58.4 per hour.
Software Engineer, Computer Vision and Deep Learning

Software Engineer, Computer Vision and Deep Learning

Mashgin

Palo Alto, CA • On-site

Full-time

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

Job description

Job Summary:
Mashgin is a company that powers the world's best checkout experience using AI technology. They are seeking a Computer Vision engineer to develop and implement cutting-edge algorithms that will enhance their product and provide real-world impact.
Responsibilities:
• Developing new computer vision algorithms with founders in C/C++ and Python for solving challenging real-world problems
• Coming up with large scale data collection techniques for training Deep Neural Nets
• Driving the development of new algorithms that dramatically improve our existing methods
• Researching and maintaining state-of-the-art ML/CV algorithms that can analyze images
• Coding full-stack building products from end to end
Qualifications:
Required:
• 5+ years relevant coding experience
• Masters degree in Computer Science or related field
• Strong background in Computer Vision
• Exposure to new Deep Learning techniques for image recognition
Preferred:
• MS/PhD degree or equivalent practical experience in Computer Science, AI, Machine Learning, or related technical field
• Experience with Python or C/C++ in a Linux environment
• Knowledge and experience in application of Deep Learning to Computer Vision problems
• Real-world experience building Computer Vision systems
Company:
Mashgin is a software company that makes AI and computer vision checkout systems. Founded in 2014, the company is headquartered in Palo Alto, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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