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Entry Level Computer Vision Deep Learning Engineer Jobs

Optimal Inc.

ML Engineer

Warren, MI · On-site

Machine Learning Engineer Job Summary We are seeking a Machine Learning Engineer with strong expertise in machine learning, deep learning, and computer vision. The ideal candidate will have ...

New

Optimal Inc.

ML Engineer

Embry Hills, GA · On-site

Machine Learning Engineer Job Summary We are seeking a Machine Learning Engineer with strong expertise in machine learning, deep learning, and computer vision. The ideal candidate will have ...

Skydio

Autonomy Engineer - Deep Learning

San Mateo, CA

$170K - $277K/yr

As a Deep Learning Engineer, you will be responsible for training and deploying optimized models to ... Design, implement, and deploy computer vision and multimodal deep learning models for Skydio ...

Optimal Inc.

ML Engineer

Warren, MI · On-site

Machine Learning Engineer Job Summary We are seeking a Machine Learning Engineer with strong expertise in machine learning, deep learning, and computer vision. The ideal candidate will have ...

RIT Solutions

Machine Learning Engineer

Fremont, CA

... computer vision, and deep learning frameworks such as PyTorch. The ideal candidate will collaborate closely with cross-functional teams across Production, Process Engineering, Controls, and Quality ...

Samprasoft

US|Machine Learning Engineer V

Houston, TX · On-site

Machine Learning Engineer Responsibilities: Develop machine learning workflows to enable an Azure ... computer vision applications using deep learning methods with static (2D Images) and real-time ...

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All JobsEntry Level Computer Vision Deep Learning Engineer Jobs

Entry Level Computer Vision Deep Learning Engineer information

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$48.5K

$121.5K

$137.5K

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

As of Jun 20, 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 engineers make $300,000 a year?

Senior engineers in specialized fields such as software engineering, data engineering, and machine learning engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and working at large tech companies or in high-demand industries. Roles like senior machine learning engineers or AI specialists with expertise in deep learning and computer vision are among those that may reach this compensation level.

Which 5 jobs will survive AI?

Entry Level Computer Vision Deep Learning Engineers are likely to continue in demand as AI advances, especially in fields requiring specialized knowledge of neural networks, image processing, and machine learning frameworks. Roles that involve designing, training, and maintaining AI models, along with skills in programming, data analysis, and domain expertise, are expected to persist. Jobs that require complex problem-solving, creativity, and human judgment will also remain resilient despite automation trends.

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 engineer makes $500,000 a year?

Highly experienced computer vision deep learning engineers working in senior or specialized roles at top tech companies can earn $500,000 or more annually, especially with bonuses and stock options. Such compensation typically requires advanced skills in deep learning frameworks, extensive industry experience, and often involves leadership or research positions in competitive environments.

Is computer vision a dead field?

Computer vision is an active and rapidly evolving field with ongoing research and industry applications, including in roles like entry-level computer vision deep learning engineers. Skills in deep learning frameworks such as TensorFlow or PyTorch are in high demand, and the field continues to grow with advancements in AI and machine learning. Job opportunities remain strong for those with relevant technical expertise.

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.
More about Entry Level Computer Vision Deep Learning Engineer jobs
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:
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 job categories do people searching Entry Level Computer Vision Deep Learning Engineer jobs look for? The top searched job categories for Entry Level Computer Vision Deep Learning Engineer jobs are:
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 June 2026, with employment types broken down into 70% Full Time, 29% Part Time, and 1% Contract. 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.
ML Engineer

ML Engineer

Optimal Inc.

Warren, MI • On-site

Full-time

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

Job description

Machine Learning Engineer

Job Summary

We are seeking a Machine Learning Engineer with strong expertise in machine learning, deep learning, and computer vision. The ideal candidate will have experience developing, training, and optimizing AI models and applying advanced techniques to solve real-world image processing and perception challenges.

Key Responsibilities
Design, develop, and optimize machine learning and deep learning models.
Conduct experiments, evaluate model performance, and implement improvements.
Work with large-scale datasets for training, validation, and testing.
Translate research concepts into scalable, production-ready solutions.
Collaborate with engineering and research teams to integrate AI models into applications.
Document technical approaches, experiments, and findings.

Required Qualifications
Master's degree in Computer Science, Electrical Engineering, Artificial Intelligence, Machine Learning, or a related field.
Strong foundation in machine learning, deep learning, and computer vision.
Experience with Python and frameworks such as PyTorch or TensorFlow.
Solid understanding of linear algebra, probability, statistics, and optimization.
Research experience in machine learning or AI through academic projects, thesis work, publications, or industry experience.

Preferred Qualifications
Publications in machine learning, computer vision, or AI conferences/journals.
Experience deploying machine learning models into production environments.
Familiarity with GPU computing and performance optimization