Machine Learning & Robotics Internship 2027

Location: Columbus, Ohio, United States

Company

hirify.global develops intelligent robotic systems that address labor shortages in industrial production.

What you will do

• Build and test production-relevant software for robots that sense, plan, and act.
• Own a scoped project from design through testing on real robotic hardware.
• Work on robotics topics such as motion and trajectory planning, inverse kinematics, reachability, real-time control, visual servoing, localization, or navigation.
• Develop machine-learning and robot-learning systems involving perception, reinforcement or imitation learning, learned planners, diffusion policies, or vision-language-action models.
• Combine classical robotics with learning-based methods and train models on multimodal data such as images, force, and torque.
• Present project results to the team at the end of the internship.

Requirements

• Currently pursuing a Bachelor's, Master's, or Ph.D. in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, Mathematics, or a related field.
• Strong programming skills in C++ and/or Python.
• Coursework, research, or project experience in robotics, including planning, controls, kinematics, or dynamics, or in machine learning, including computer vision, deep learning, or reinforcement learning.
• For robot-learning projects, coursework or research in imitation learning, reinforcement learning, or diffusion-based policies, ideally applied to robot manipulation.
• Comfortable working on Linux and using Git.
• Ability to learn quickly, debug difficult problems, and explain technical work clearly to people outside the specialty.

Culture & Benefits

• 12-week internship during the spring or summer of 2027.
• Dedicated mentor and regular collaboration with robotics, machine-learning, and hardware engineers.
• Projects are deployed to robots performing real production work.
• Daily free lunch.
• Competitive hourly pay.
• Diverse and inclusive workplace with support for reasonable accommodations during the hiring process.