Machine Learning Engineer Visa Sponsorship Jobs in Ohio
Ohio's machine learning engineer job market is anchored by employers in Columbus, Cleveland, and Cincinnati, with major tech, healthcare, and financial services companies actively hiring. JPMorgan Chase, Nationwide, and major healthcare systems like Cleveland Clinic have sponsored ML engineering roles. Ohio's research universities also feed a steady pipeline of ML talent into the state's growing tech sector.
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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.
Machine Learning Engineer Job Roles in Ohio
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Search Machine Learning Engineer Jobs in OhioMachine Learning Engineer Jobs in Ohio: Frequently Asked Questions
Which companies sponsor visas for machine learning engineers in Ohio?
Several large Ohio-based employers have a documented history of sponsoring work visas for machine learning engineers. JPMorgan Chase and Discover Financial in Columbus, Progressive Insurance in Mayfield Village, and Cleveland Clinic in the healthcare sector have all filed Labor Condition Applications for ML and data science roles. Large tech divisions of retailers like Big Lots and consulting firms with Ohio offices also appear in federal sponsorship disclosure data.
Which visa types are most common for machine learning engineer roles in Ohio?
The H-1B visa is the most common sponsorship pathway for machine learning engineers in Ohio, as ML roles consistently qualify as specialty occupations requiring at least a bachelor's degree in computer science, statistics, or a related technical field. Candidates with an Australian passport may qualify for the E-3 visa. Those with extraordinary ability or a national interest waiver petition may pursue O-1 visa or EB-2 NIW pathways without requiring employer-sponsored PERM.
Which cities in Ohio have the most machine learning engineer sponsorship jobs?
Columbus is Ohio's primary hub for ML engineering sponsorship, driven by its concentration of financial services firms, insurance companies, and a growing tech sector anchored by companies like Nationwide and JPMorgan Chase. Cleveland follows, with healthcare and manufacturing technology employers sponsoring ML roles. Cincinnati has a smaller but active market through consumer goods companies and regional financial institutions. All three cities have universities that create local hiring pipelines.
How to find machine learning engineer visa sponsorship jobs in Ohio?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can search machine learning engineer roles in Ohio without sifting through postings from employers who don't sponsor. The platform surfaces roles from companies with verified sponsorship histories in the state. This is especially useful for H-1B visa and E-3 visa candidates who need to identify employers willing to file petitions before investing time in the application process.
Are there any Ohio-specific factors that affect visa sponsorship for machine learning engineers?
Ohio's lower cost of living compared to coastal tech hubs means prevailing wage benchmarks set by the Department of Labor are generally lower than in San Francisco or New York, which can make sponsorship more financially accessible for Ohio employers. The state's strong university system, including Ohio State University and Case Western Reserve, produces ML graduates who sometimes transition from OPT into sponsored roles with local employers, making campus recruiting a notable pipeline for sponsored positions.
What is the prevailing wage for sponsored machine learning 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.