1

Internship Ai Robotics Engineer Jobs in Ohio (NOW HIRING)

Hiring Alert | AI Engineer Location: Columbus, OH / Phoenix, AZ Employment Type: Full-Time ... Intelligence & Robotics, or related field preferred. Tech Stack: Full Stack Development | Azure ...

Our AI-driven systems enable robots to adapt, learn, and perform in the real world closing the ... Our Deployment Engineers work to seamlessly integrate our robots, sensors, and software into a ...

Our AI-driven systems enable robots to adapt, learn, and perform in the real world closing the ... Our Deployment Engineers work to seamlessly integrate our robots, sensors, and software into a ...

$80 - $100/hr

About the team The Data Operations team owns the entire data lifecycle behind STARK's AI stack ... Our hardware engineer builds the rigs and mounts, our robotics engineer makes the sensors record ...

About the job Robotic Fabrication Tech At 1872 AI, we are transforming industrial manufacturing in ... You'll work alongside experienced fabricators and engineers, gaining exposure to advanced ...

About the job Robotic Fabrication Tech At 1872 AI, we are transforming industrial manufacturing in ... You'll work alongside experienced fabricators and engineers, gaining exposure to advanced ...

Robotic Welder

Cincinnati, OH · On-site

$17.25 - $23.75/hr

1872 AI is hiring for a hands-on fabricator in Cincinnati, OH, focusing on robotic welding and precision steel fabrication. You will work alongside experienced fabricators and engineers, gaining ...

Our AI-driven systems enable robots to adapt, learn, and perform in the real world, closing the ... Our Mechanical Engineers work on some of the most important things we need to change the future of ...

Robotic Welder

Cincinnati, OH · On-site

$17.25 - $23.75/hr

1872 AI is hiring for a hands-on fabricator in Cincinnati, OH, focusing on robotic welding and precision steel fabrication. You will work alongside experienced fabricators and engineers, gaining ...

Showing results 41-60

Internship Ai Robotics Engineer information

What is the difference between Internship Ai Robotics Engineer vs Robotics Engineer?

AspectInternship Ai Robotics EngineerRobotics Engineer
QualificationsEnrolled in or recent graduate of relevant STEM programs, basic programming skillsBachelor's or higher in robotics, mechanical, electrical engineering, or related fields
Work EnvironmentInternship setting, often in research labs or tech companiesFull-time roles in manufacturing, research, or development environments
ResponsibilitiesAssist in AI and robotics projects, learn on the job, support development tasksDesign, develop, test robotic systems, and implement AI algorithms

The main difference is that an Internship Ai Robotics Engineer is a temporary, entry-level position focused on learning and supporting projects, while a Robotics Engineer is a full-time professional responsible for designing and developing robotic systems. Internships are ideal for gaining experience, whereas Robotics Engineers hold more advanced roles with greater responsibilities.

How much do internship AI robotics engineers make?

Internship AI robotics engineers typically earn between $15 and $30 per hour, depending on the company, location, and level of experience. Compensation may also include stipends or academic credit, and internships often require familiarity with programming languages like Python or C++ and robotics tools such as ROS.

Is an internship AI robotics engineer worth it?

An internship as an AI robotics engineer provides valuable hands-on experience in developing and deploying robotics and AI systems, which can enhance skills in programming, machine learning, and hardware integration. It offers industry exposure, networking opportunities, and can improve job prospects after graduation.

What does an AI robotics engineer intern do?

An AI robotics engineer intern assists in developing and testing robotic systems that incorporate artificial intelligence, such as machine learning algorithms and computer vision. They often work with programming languages like Python or C++, use robotics frameworks like ROS, and gain hands-on experience in designing autonomous or semi-autonomous robots under supervision.

What are the most commonly searched types of Ai Robotics Engineer jobs in Ohio?

The most popular types of Ai Robotics Engineer jobs in Ohio are:

What job categories do people searching Internship Ai Robotics Engineer jobs in Ohio look for?

The top searched job categories for Internship Ai Robotics Engineer jobs in Ohio are:

What cities in Ohio are hiring for Internship Ai Robotics Engineer jobs?

Cities in Ohio with the most Internship Ai Robotics Engineer job openings:

Infographic showing various Internship Ai Robotics Engineer job openings in Ohio as of August 2026, with employment types broken down into 76% Full Time, 18% Part Time, 1% Temporary, and 5% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution.

Senior Machine Learning Engineer (Tech Lead), Robot Learning, Loco- Manipulation

Path Robotics

Columbus, OH • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 days ago


Key responsibilities

  • Set the machine learning technical direction, including architectural choices, training methodology, and data strategy for perception, reasoning, and action generation.

  • Own the architectural workstreams related to action-policy learning, world-model-based supervision, and policy-orchestration interfaces, and design hybrid physics-ML architectures for loco-manipulation.

  • Collaborate with hardware teams and other stakeholders to drive deployment strategies and mentor junior and intermediate engineers across software, ML, robotics, and perception disciplines.


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 are standing up a new Robot Learning team focused on whole-body loco-manipulation for precision tasks in heavy manufacturing.
We are seeking a Senior Machine Learning Engineer (Tech Lead) for this new team. You write code, set the technical direction, make the architectural decisions the team builds on, mentor junior and intermediate engineers, and help shape how the team works.
What You'll Do
  • Set the ML technical direction for the team, architectural choices on perception, reasoning, and action generation; training methodology; data strategy; the path from research bet to deployed capability. As one of the first senior hires, you are designing the approach, not extending it.
  • Own the architectural workstreams that define the team's research and engineering bets - multiple core build streams across action-policy learning, world-model-based supervision, and policy-orchestration interfaces.
  • Design hybrid physics-ML architectures for the integrated loco-manipulation stack. Manipulation, locomotion, and the whole-body control coupling between them are not separable on legged platforms; sub-millimetre continuous-trajectory precision at the tool requires the whole-body controller to compensate for base motion in real time. Today on fixed bases; tomorrow on mobile platforms. The integration is the hard problem; you own its design.
  • Own the cross-functional partnerships with hardware teams, domain experts, customer-facing assurance standards, and upstream / downstream teams. Drive a phased deployment strategy that builds production trust over time.
  • Mentor and shape the team, guide junior and intermediate ICs across software, ML, robotics, and perception backgrounds; establish code-quality standards, review practices, and engineering norms; help identify and attract next hires. You write code throughout - this is a tech-lead role, not a step away from the work.

Who You Are
  • Ph.D. or Master's degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related field or equivalent experience.
  • 5+ years of hands-on robot learning experience. You have shipped sim-to-real policies on real robots, across different tasks or platforms.
  • Demonstrated technical leadership and mentorship. You have made architectural decisions on robot learning systems that others built on, and you have meaningfully shaped the development of more-junior engineers as a tech lead. This can be in academia (leading a lab subgroup, advising students) or industry.
  • Deep sim-to-real expertise - domain randomisation, system identification, teacher-student distillation, sim-to-online fine-tuning. You can design a transfer strategy for a novel problem.
  • Full-stack robot learning - fluent across simulation construction, policy training, data collection, real-world deployment, and failure diagnosis.
  • Physics-informed ML or hybrid control experience - PINNs, neural ODEs, MPC with learned dynamics, process-model-conditioned generation, or similar.
  • A defensible view on visual-reasoning-centric substrates for grounded spatial / physical reasoning.
  • Push-back willingness - you can defend a non-obvious architectural commitment under pressure, and change your mind on evidence.
  • Strong programming skills in Python and C++; production-quality code with reproducibility, testing, and maintainability discipline.
  • Strong communication skills, able to convey complex technical concepts to a diverse audience.
  • Demonstrated independent technical authority - you have set technical direction in a tech-lead capacity, leading a research subgroup, owning an architecture across multiple ICs' work, or making the architectural call on a high-profile project.

Strongly Preferred:
  • Edge inference depth (TensorRT, ONNX, edge-class deployment).
  • Loco-manipulation experience - locomotion, whole-body control, and manipulation on legged platforms (quadrupeds, humanoids). The coupling between the three is the hard problem; direct hands-on experience or a defensible architectural view both count.
  • Precision manipulation or surgical robotics - sub-mm accuracy tasks.
  • Flow-matching action-head design at depth - direct experience with the architectural pattern.
  • Visual self-supervised representation learning experience on robot or 3D-vision tasks.
  • Multi-skill workflow or hierarchical policy design - skill sequencing, failure detection, control mode transitions.
  • Experience building ML capability from early stage - first or second ML engineer on a team, or built a research group's infrastructure from scratch.

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.