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Intern Computer Vision Deep Learning Engineer Jobs in Columbus, OH

Machine Learning Engineer II

Columbus, OH · On-site

$94K - $128K/yr

D. or Master's degree in a quantitative discipline (such as computer science, statistics, or ... Possess deep theoretical and practical knowledge of statistical inference and machine learning ...

Machine Learning Engineer II

Columbus, OH · On-site

$94K - $128K/yr

D. or Master's degree in a quantitative discipline (such as computer science, statistics, or ... Possess deep theoretical and practical knowledge of statistical inference and machine learning ...

Gen AI Developer Intern

Dublin, OH · On-site

$18.50 - $24.50/hr

However, the learning does not stop there! TCS is committed to the continuous growth of its ... S. in Computer Science (CS), Information Technology (IT), Information Systems (IS), Electrical ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

AI Solutions Architect

Columbus, OH · On-site

$60.75 - $80.25/hr

Bachelor's degree in Science, Technology, Engineering, or Mathematics, such as Computer Science ... deep learning, or generative artificial intelligence solutions in production environments

Vision Inspection Machine Technician

Jeffersonville, OH · On-site

$18.75 - $24.25/hr

... programming software, gather images and have foundational understanding of deep learning concepts ... Associates Degree in Computer Science or related studies preferred. Production work experience in ...

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Intern Computer Vision Deep Learning Engineer information

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

As of Jul 15, 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:
Infographic showing various Intern Computer Vision Deep Learning Engineer job openings in Columbus, OH as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $34,227 per year, or $16.5 per hour.
Senior Machine Learning Engineer - Reinforcement Learning

Senior Machine Learning Engineer - Reinforcement Learning

Path Robotics

Columbus, OH • On-site, Remote

$118K - $156K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago


Job description

Build the Path Forward
At Path Robotics, we're attacking a trillion dollar opportunity - doing things that have never been done before to support an industry hurting from a lack of skilled labor. Big, hard problems are what Path tackles every day, and our people are our greatest asset to get that job done. Our intelligent, hardworking team of people do the impossible every single day, yet remain incredibly kind, humble, and always ready to support one another.
As a Sr. ML Engineer focused on Reinforcement Learning, you will design, implement, and optimize RL algorithms that enable intelligent agents to operate in dynamic, unstructured environments. This role involves working closely with cross-functional teams to design, test, and deploy innovative solutions that improve the performance and capabilities of our robotic systems. This role can be located in our Columbus, Ohio Headquarters or Remote.
What You'll Do
  • Design, implement, and evaluate RL algorithms for robotic control, motion planning, and adaptive behaviors in dynamic, unstructured environments.
  • Develop and integrate RL policies with robot control systems, ensuring compatibility with hardware constraints and real-time requirements.
  • Collaborate with perception teams to fuse RL with vision, depth, and sensor data for robust decision-making.
  • Build and maintain sim-to-real pipelines, including domain randomization and transfer learning techniques.
  • Conduct experiments on physical robots, including designing safety protocols and monitoring for unexpected behaviors.
  • Leverage simulation environments (Isaac Gym, Gazebo, MuJoCo, PyBullet) for large-scale training before real-world validation.
  • Continuously improve model efficiency to operate within compute and latency constraints on embedded robotic systems.
Who You Are
  • Master's or PhD in Computer Science, Robotics, Machine Learning, or related field, or equivalent practical experience.
  • Experience developing and deploying reinforcement learning algorithms on real-world systems.
  • Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
  • Experience with simulation environments (e.g., MuJoCo, Isaac Gym).
  • Solid understanding of probability, statistics, and optimization.
  • Experience with training and deploying ML models in production systems.
Why You'll Love It 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.