ZipRecruiter

Log In

1

Intern Computer Vision Deep Learning Engineer Jobs in Columbus, OH

Indeed

Senior Machine Learning Engineer

Columbus, OH

$97K - $134K/yr

Requires a Bachelor's degree in Computer Science, Mathematics, or Statistics, and a minimum of 5 ... GEPA) * Knowledge of and practical experience working on Deep Learning libraries (like Torch ...

Indeed

Machine Learning Engineer III

Columbus, OH

Requires a Bachelor's degree in Computer Science, Mathematics, or Statistics, and a minimum of 8 ... Knowledge and practical experience working on Deep Learning Libraries (like Torch, Tensorflow, etc.

next page

Showing results 1-20

All JobsIntern Computer Vision Deep Learning Engineer JobsIntern Computer Vision Deep Learning Engineer Jobs in Columbus, OH

Intern Computer Vision Deep Learning Engineer information

See Columbus, OH salary details

$8

$16

$23

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

As of Jun 13, 2026, the average hourly pay for intern computer vision deep learning engineer in Columbus, OH is $16.46, according to ZipRecruiter salary data. Most workers in this role earn between $13.94 and $18.56 per hour, depending on experience, location, and employer.

What is the difference between Intern Computer Vision Deep Learning Engineer vs Intern Machine Learning Engineer?

AspectIntern Computer Vision Deep Learning EngineerIntern Machine Learning Engineer
Required SkillsComputer vision, deep learning, CNNs, Python, TensorFlow/PyTorchMachine learning, algorithms, Python, scikit-learn, TensorFlow/PyTorch
Work EnvironmentResearch labs, tech companies, startups focusing on image/video analysisTech companies, research labs, startups working on diverse ML applications
Industry UsagePrimarily in computer vision projects like object detection, image segmentationBroader ML projects including predictive modeling, NLP, recommendation systems

Intern Computer Vision Deep Learning Engineers focus on image and video analysis using deep learning techniques, while Intern Machine Learning Engineers work on a wider range of ML applications. Both roles require strong Python skills and familiarity with deep learning frameworks, but their project focus and industry applications differ.

What types of projects or tasks can I expect to work on as an Intern Computer Vision Deep Learning Engineer?

As an Intern Computer Vision Deep Learning Engineer, you can expect to contribute to projects involving image or video analysis, such as object detection, image classification, or facial recognition. Your daily tasks might include data preprocessing, annotating datasets, training and evaluating deep learning models, and assisting with model optimization for deployment. You’ll often work closely with senior engineers and researchers, gaining hands-on experience with real-world datasets and cutting-edge frameworks. Collaboration with cross-functional teams, such as software developers and product managers, is common to ensure your models address practical business needs.

What does an Intern Computer Vision Deep Learning Engineer do?

An Intern Computer Vision Deep Learning Engineer assists in developing and improving algorithms that enable computers to interpret and understand visual information from the world, such as images and videos. They often work on tasks like image classification, object detection, and facial recognition using deep learning frameworks like TensorFlow or PyTorch. Interns typically help with data collection, model training, evaluation, and sometimes deployment, all under the guidance of experienced team members. This role is a great opportunity to gain hands-on experience in machine learning and computer vision while contributing to real-world projects.

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

To thrive as an Intern Computer Vision Deep Learning Engineer, you need a solid understanding of machine learning fundamentals, computer vision concepts, and proficiency in programming languages like Python, often supported by coursework or personal projects. Familiarity with deep learning frameworks such as TensorFlow or PyTorch and experience with image processing libraries like OpenCV are typically expected. Strong problem-solving abilities, curiosity, and effective teamwork skills help interns excel in fast-paced research and development environments. These skills are essential for contributing to innovative projects and adapting to the rapidly evolving field of computer vision.
What are popular job titles related to Intern Computer Vision Deep Learning Engineer jobs in Columbus, OH? For Intern Computer Vision Deep Learning Engineer jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Intern Computer Vision Deep Learning Engineer jobs in Columbus, OH look for? The top searched job categories for Intern Computer Vision Deep Learning Engineer jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Intern Computer Vision Deep Learning Engineer jobs? Cities near Columbus, OH with the most Intern Computer Vision Deep Learning Engineer job openings:
Intern Computer Vision Deep Learning Engineer jobs near you
Infographic showing various Intern Computer Vision Deep Learning Engineer job openings in Columbus, OH as of June 2026, with employment types broken down into 81% Full Time, 16% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $34,227 per year, or $16.5 per hour.
Staff Machine Learning Engineer, Perception

Staff Machine Learning Engineer, Perception

Path Robotics

Columbus, OH • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago

Job description

Build the Path Forward
At Path Robotics, we're building the future of embodied intelligence. Our AI-driven systems enable robots to adapt, learn, and perform in the real world closing the skilled labor gap and transforming industries. We go beyond traditional methods, combining perception, reasoning, and control to deliver field-ready AI that is risk-aware, reliable, and continuously improving through real-world use.
Big, hard problems are our everyday work, and our team of intelligent, humble, and driven people make the impossible possible together.
We're seeking a passionate individual to join our team at the intersection of welding science and artificial intelligence. As a Staff Machine Learning Engineer, you'll be instrumental in developing robotic welding solutions. You'll use your skills in computer vision, deep learning, and Python programming to tackle challenges in our field alongside our talented teams.
What You'll Do
  • Lead the development and implementation of advanced algorithms for robotic perception systems tailored to industrial welding tasks, integrating data from diverse vision sensors such as RGB/GigE, LiDAR, and ToF depth sensors.
  • Oversee research initiatives to address complex welding-related challenges, utilizing image processing, point cloud data, and 3D sensor fusion, contributing to innovative solutions for domain-specific problems.
  • Collaborate with multidisciplinary teams to design and lead experiments evaluating state-of-the-art deep learning models, optimizing machine learning systems for robotic perception in welding.
  • Stay at the forefront of advancements in Robotics, Computer Vision, and ML research, driving the integration of cutting-edge technologies into real-world applications, and ensuring these innovations have a high impact on production systems.
  • Mentor and guide junior engineers, providing technical leadership and fostering collaboration to enhance team expertise in perception systems and machine learning.
  • Contribute to strategic decisions about system architecture and the direction of robotics perception technologies within the company, ensuring alignment with product and business goals.

Who You Are
  • Master's or Ph.D. in Computer Science, Robotics, or a related field with a focus on Computer Vision, Machine Learning, or Perception Systems.
  • 5+ years of experience in developing machine learning algorithms or applications for real-world robotics systems, particularly in industrial or manufacturing environments.
  • Strong proficiency in Python, as well as experience with other relevant languages (e.g., C++), and a deep understanding of neural networks, deep learning architectures, and 3D data processing.
  • Extensive experience with vision sensors (e.g., RGB, LiDAR, ToF) and demonstrated ability to apply sensor fusion techniques for perception tasks.
  • A proven track record of leading projects and research initiatives, with the ability to bridge the gap between theoretical research and practical, deployable solutions.
  • Enthusiastic about working in a fast-paced, dynamic startup environment, with the ability to influence company-wide technological direction and strategy.

Why You'll Love Working Here
  • Daily free lunch to keep you fueled and connected with the team
  • Flexible PTO so you can take the time you need, when you need it
  • Comprehensive medical, dental, and vision coverage
  • 6 weeks fully paid parental leave, plus an additional 6-8 weeks for birthing parents (12-14 weeks total)
  • 401(k) retirement plan through Empower
  • Generous employee referral bonuses-help us grow our team!

Who We Are
At Path Robotics we love coming to work to solve interesting and tough challenges but also because our ideas are welcomed and valued. We encourage unique thinking and are dedicated to creating a diverse and inclusive environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
If you require a reasonable accommodation to participate in the application process or any part of the hiring process, please contact HR@path-robotics.com. We are committed to providing equal access and will work with qualified individuals to ensure a fair and accessible hiring experience. We will respond to your request within 48 hours.

Apply