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Robotics Research Jobs in Ohio (NOW HIRING)

Senior Software Engineer

Columbus, OH ยท On-site

$118K - $156K/yr

Build internal tooling, APIs, and libraries that abstract away infrastructure complexity so researchers can focus on solving ML, CV, and robotics problems. * Collaborate with the data platform team ...

Senior Software Engineer

Columbus, OH

$118K - $156K/yr

Build internal tooling, APIs, and libraries that abstract away infrastructure complexity so researchers can focus on solving ML, CV, and robotics problems. * Collaborate with the data platform team ...

Senior Machine Learning Engineer

Columbus, OH ยท On-site +1

$100K - $138K/yr

This role sits at the intersection of generative modeling, robotics, and applied physics. It is research-heavy by design, while still grounded in production reality. We are hiring two Senior Machine ...

Project/Program Management Group Job Sub Function: R&D Project Management Job Category ... Learn more at The Technical Product Manager, Robotics is responsible for defining and delivering ...

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Showing results 1-20

Robotics Research information

See Ohio salary details

$79.9K

$91.3K

$110.8K

How much do robotics research jobs pay per year?

As of Jul 26, 2026, the average yearly pay for robotics research in Ohio is $91,266.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,600.00 and $97,000.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of a Robotics Researcher?

As a Robotics Researcher, daily tasks often include designing experiments, developing and testing algorithms, and analyzing data to improve robotic systems. You might collaborate with electrical, mechanical, or software engineers to integrate new technologies or refine existing prototypes. You will also frequently document your findings, write research papers or reports, and present results to your team or at conferences. The work environment is typically collaborative, with a focus on continuous learning and innovation to advance both theoretical knowledge and practical applications.

What is a Robotics Research job?

A Robotics Research job involves investigating, designing, and developing robotic systems to improve automation, artificial intelligence, and mechanical capabilities. Researchers in this field explore new algorithms, hardware innovations, and control techniques to enhance robotics applications in industries like healthcare, manufacturing, and space exploration. They often work with simulation software, machine learning models, and physical prototypes to test and refine robotic systems. The role typically requires expertise in computer science, engineering, and mathematics, along with strong problem-solving skills.

What are the key skills and qualifications needed to thrive in the Robotics Research position, and why are they important?

To thrive in Robotics Research, you need a strong background in robotics, computer science, engineering, and mathematics, typically supported by an advanced degree such as a master's or Ph.D. in a related field. Familiarity with programming languages (e.g., Python, C++), robotics platforms (such as ROS), and simulation or CAD tools is often essential. Critical thinking, problem-solving abilities, and strong collaboration and communication skills are highly valued soft skills in this role. These competencies enable researchers to design and implement innovative solutions, work effectively in multidisciplinary teams, and advance the field of robotics.

What are the most commonly searched types of Robotics Research jobs in Ohio? The most popular types of Robotics Research jobs in Ohio are:
What job categories do people searching Robotics Research jobs in Ohio look for? The top searched job categories for Robotics Research jobs in Ohio are:
What cities in Ohio are hiring for Robotics Research jobs? Cities in Ohio with the most Robotics Research job openings:
Infographic showing various Robotics Research job openings in Ohio as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 9% Part Time, and 7% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $91,266 per year, or $43.9 per hour.
Machine Learning Engineer, Robot Learning, Loco-Manipulation

Machine Learning Engineer, Robot Learning, Loco-Manipulation

Path Robotics

Columbus, OH โ€ข On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 28 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 are standing up a new Robot Learning team focused on whole-body loco-manipulation for precision tasks in heavy manufacturing.
We are seeking a Machine Learning Engineer to join us as a founding member. You will be among the first ML engineers on a research stack that does not exist anywhere else in the field built around visual reasoning, learned action policies, and reinforcement-learning fine-tuning from real customer data.
What You'll Do
  • Build the team's robot-learning stack from the ground up. This is a founding role; you are designing the training infrastructure, data pipelines, simulation environments, model architectures, and deployment workflows - not inheriting them. Multi-modal perception, scene understanding, and learned action generation work in tight coordination on the stack you help create.
  • Stand up ML infrastructure - training pipelines, experiment tracking, data versioning, reproducible sim-to-real workflows.
  • Train policies across manipulation, locomotion, and the whole-body control coupling between them. On legged platforms performing precision tasks, manipulation and locomotion are not separable - every arm motion shifts the centre of mass; the whole-body controller compensates in real time to maintain accuracy at the tool. Behavioural cloning, diffusion- and flow-matching action generation, reinforcement-learning fine-tuning. Cobots, industrial arms, and mobile platforms.
  • Deploy in stages - through a phased rollout strategy that builds production trust over time. Every real-world execution accumulates training data for continuous improvement.
  • Collaborate daily with mechanical engineers, perception engineers, robotics engineers, and manufacturing domain experts. Within-department rotation across home teams is expected.

Who You Are
  • Ph.D. or Master's degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related field - or equivalent experience.
  • 2+ years of hands-on robot learning experience. You have trained policies and deployed them on real robot hardware - not just in simulation.
  • Sim-to-real transfer experience - built simulation environments, implemented domain randomisation, transferred policies to physical robots, debugged where it broke.
  • Implementation experience with diffusion-based or flow-matching action policies for robots, and with action chunking.
  • Reinforcement learning for robotics applied on real hardware - sample-efficient on-robot methods, residual RL on top of pretrained policies, on-policy fine-tuning of foundation policies.
  • Strong programming skills in Python; PyTorch and ML training infrastructure at production level.
  • Practical experience with NVIDIA Isaac Sim / Isaac Lab, MuJoCo, or equivalent.
  • Comfort with physical robots - debugging, iterating, deploying.
  • Strong communication skills, able to convey complex technical concepts to a diverse audience.

Strongly Preferred:
  • Edge inference on edge-class hardware (TensorRT, ONNX, FP16 / INT8 quantisation). Real-time on-robot deployment is a core requirement.
  • Visual self-supervised representation learning experience on robot or 3D-vision tasks.
  • Legged-robot or whole-body control experience - locomotion, manipulation on a floating base, or the integration between them on quadrupeds or humanoids.
  • Physics-informed ML - hybrid models where learned components are constrained by known physics.
  • Experience building ML pipelines or infrastructure in a team setting.

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.