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Entry Level Computer Vision Deep Learning Engineer Jobs

Hayden AI

Deep Learning Engineer

San Francisco, CA · On-site

$161K - $175K/yr

About Us At Hayden AI, we are on a mission to harness the power of computer vision to transform the ... About the Role As a Deep Learning Engineer at Hayden, you will make key contributions towards ...

Zensors

AI/ML Infrastructure Engineer

San Francisco, CA · On-site

$126K - $166K/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 ...

Zobility

Computer Vision Engineer

Raymond, OH · On-site

$108K - $127K/yr

... deep learning techniques. • Experience implementing vision algorithms in C++, Python, HALCON, Matrox, Cognex, and/or Keyence, using traditional rules and/or deep learning. • Experience with ...

Bot Auto

Intern, Deep Learning Engineer

Houston, TX · On-site

$14.25 - $19/hr

... Deep Learning, Computer Vision, Robotics, or related fields. * Technical Stack: Proficient in ... Engineering Plus: Experience with Linux, Git, C++, or deployment tools like TensorRT/ONNX.

Bot Auto

Intern, Deep Learning Engineer

Houston, TX · On-site

$14.25 - $19/hr

... Deep Learning, Computer Vision, Robotics, or related fields. * Technical Stack: Proficient in ... Engineering Plus: Experience with Linux, Git, C++, or deployment tools like TensorRT/ONNX.

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All JobsComputer Vision Deep Learning Engineer JobsEntry Level Computer Vision Deep Learning Engineer Jobs

Entry Level Computer Vision Deep Learning Engineer information

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

As of Aug 1, 2026, the average yearly pay for entry level 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 types of projects do entry-level Computer Vision Deep Learning Engineers typically work on, and how is their work structured within a team?

As an entry-level Computer Vision Deep Learning Engineer, you can expect to contribute to projects like object detection, image classification, and model optimization for real-world applications. Your tasks may include data preprocessing, training and evaluating neural networks, and writing code to integrate models into products or pipelines. You'll often collaborate closely with senior engineers, data scientists, and product managers, typically working in agile teams where regular code reviews and knowledge sharing are common. This collaborative environment not only helps you learn best practices but also provides opportunities to gradually take on more responsibility as your skills develop.

What does an Entry Level Computer Vision Deep Learning Engineer do?

An Entry Level Computer Vision Deep Learning Engineer works on developing and implementing algorithms that allow computers to interpret and understand visual information from the world, such as images or videos. They typically use deep learning techniques, especially neural networks, to build models for tasks like object detection, facial recognition, and image classification. Their responsibilities may include data preprocessing, model training and evaluation, writing code (often in Python), and collaborating with senior engineers on real-world projects. This role is ideal for those who have a strong foundation in machine learning, programming, and mathematics, but are just starting their careers in the field.

What are the key skills and qualifications needed to thrive as an Entry Level Computer Vision Deep Learning Engineer, and why are they important?

To thrive as an Entry Level Computer Vision Deep Learning Engineer, you need a solid understanding of computer vision fundamentals, deep learning concepts, and programming skills in languages like Python, along with a relevant degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, experience with OpenCV, and knowledge of version control systems like Git are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate within teams and tackle complex challenges. These skills and qualities are crucial for developing, deploying, and optimizing computer vision solutions that meet real-world business needs.
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What cities are hiring for Entry Level Computer Vision Deep Learning Engineer jobs? Cities with the most Entry Level Computer Vision Deep Learning Engineer job openings:
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Entry Level Computer Vision Deep Learning Engineer jobs near you
Infographic showing various Entry Level Computer Vision Deep Learning Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $121,515 per year, or $58.4 per hour.

Computer Vision Engineer

Applied Medical

Rancho Santa Margarita, CA • On-site

$120K - $142K/yr

Full-time

Posted 29 days ago

Applied Medical rating

8.0

Company rating: 8.0 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

Job description

Job Summary:
Applied Medical is a new generation medical device company committed to innovation and excellence in healthcare. The Computer Vision Engineer will develop and optimize algorithms for image and video analysis, integrating scalable solutions into real-world products while enhancing model accuracy and system efficiency.
Responsibilities:
• Design, develop, and implement computer vision algorithms for object detection, segmentation, tracking, and feature extraction in image and video analysis
• Collaborate with cross-functional teams to deploy and embed computer vision capabilities into products, including the Simsei simulation program
• Optimize the accuracy, efficiency, and scalability of existing computer vision systems for real-world applications
• Research emerging computer vision technologies and methodologies, applying insights to improve model performance
• Test, validate, and deploy models, maintaining robustness and reliability in production environments
• Monitor and troubleshoot deployed systems, resolving performance issues and implementing enhancements over time
Qualifications:
Required:
• Bachelor's degree in computer science, computer engineering, electrical engineering, or a related engineering field with an emphasis on computer vision, or relevant experience
• Minimum of three years of relevant work experience, or equivalent education and experience demonstrating the skills below
• Strong analytical skills and a solid foundation in mathematics
• Deep understanding of and hands-on experience with image processing, computer vision, machine learning, and deep learning algorithms
• Strong development skills in C++ or Python
• Experience applying traditional computer vision and deep learning algorithms to problems such as object detection, segmentation, tracking, and feature extraction
• Experience with data science and computer vision libraries, including NumPy, Pandas, SciPy, Matplotlib, Scikit-learn, and OpenCV
• Experience with deep learning frameworks such as PyTorch, TensorFlow, or Keras
Preferred:
• Experience with medical image analysis or medical applications
• Experience with image streaming and real-time image analysis
• Experience with computer graphics and visualization
• Experience with database servers such as MySQL or SQL Server
• Experience with cloud services such as Amazon Web Services (AWS), Azure, or Google Cloud Platform (GCP)
Company:
As a new generation medical device company, Applied Medical is focused on meeting three fundamental healthcare needs: enhanced clinical outcomes, cost containment and unrestricted choice. Founded in 1987, the company is headquartered in Rancho Santa Margarita, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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