ML Engineer Visa Sponsorship Jobs in Ohio
Ohio's ML engineer hiring is anchored in Columbus, Cincinnati, and Cleveland, with employers like Nationwide, Fifth Third Bank, and Procter & Gamble regularly seeking machine learning talent. The state's growing fintech, healthcare, and manufacturing sectors drive consistent demand, and several Ohio universities supply strong research pipelines that attract international candidates needing visa sponsorship.
Find ML Engineer JobsOverview
Showing 5 of 313+ ML Engineer Jobs in Ohio with Visa Sponsorship
See all 313+ ML Engineer Jobs in Ohio with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new ML Engineer Jobs in Ohio with Visa Sponsorship.
Get Access To All JobsINTRODUCTION
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.
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.
INTRODUCTION
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.
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.
ML Engineer Job Roles in Ohio
See all 313+ ML Engineer Jobs in Ohio
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search ML Engineer Jobs in OhioML Engineer Jobs in Ohio: Frequently Asked Questions
Which companies in Ohio sponsor visas for ML engineers?
Large Ohio-headquartered employers with a track record of H-1B visa sponsorship for ML roles include Nationwide Insurance, JPMorgan Chase's Columbus operations, Procter & Gamble in Cincinnati, and Cleveland Clinic. Defense and aerospace contractors like Battelle and Leidos also sponsor ML engineers regularly. Consulting firms and cloud technology companies with Ohio delivery centers are additional sources of sponsorship.
Which visa types are most common for ML engineer roles in Ohio?
The H-1B is the most common visa for ML engineers in Ohio, as machine learning roles consistently qualify as specialty occupations requiring at least a bachelor's degree in computer science, data science, or a related field. OPT and STEM OPT extensions are frequently used by candidates from Ohio State University, Carnegie Mellon's Pittsburgh campus, and other nearby research schools while transitioning to H-1B sponsorship.
Which cities in Ohio have the most ML engineer sponsorship jobs?
Columbus accounts for the largest share of ML engineer sponsorship activity in Ohio, driven by its concentration of financial services firms, insurance companies, and a growing tech startup scene. Cincinnati follows, with strength in consumer goods, healthcare, and logistics. Cleveland has notable demand through its healthcare institutions, including Cleveland Clinic and University Hospitals, which invest heavily in applied machine learning.
How to find ml engineer visa sponsorship jobs in Ohio?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to browse ML engineer openings in Ohio without sorting through roles that won't support international candidates. You can narrow results by city and role type to focus on Columbus, Cincinnati, or Cleveland employers who have actively sponsored visas for machine learning positions.
Are there any Ohio-specific considerations for ML engineers pursuing visa sponsorship?
Ohio's lower cost of living compared to coastal tech hubs means prevailing wage requirements under the H-1B Labor Condition Application are generally set at Midwest market rates, which can make sponsorship more accessible for mid-sized Ohio employers. The state also benefits from strong university research partnerships, particularly with Ohio State University and Case Western Reserve, which create direct pipelines from academic ML research into sponsored industry roles.
What is the prevailing wage for sponsored ml engineer jobs in Ohio?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.