Machine Learning Visa Sponsorship Jobs in Ohio
Ohio's machine learning job market is anchored by employers like JPMorgan Chase and Nationwide in Columbus, healthcare systems like Cleveland Clinic and University Hospitals in Northeast Ohio, and a growing tech sector supported by Ohio State University's AI research programs. Companies across finance, insurance, and healthcare regularly sponsor H-1B visas for qualified machine learning engineers and data scientists.
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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 Job Roles in Ohio
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Search Machine Learning Jobs in OhioMachine Learning Jobs in Ohio: Frequently Asked Questions
Which companies sponsor visas for machine learning roles in Ohio?
Several large Ohio employers have established H-1B sponsorship histories for machine learning roles. JPMorgan Chase and Nationwide Insurance in Columbus, Cleveland Clinic and Progressive Insurance in Northeast Ohio, and Procter and Gamble in Cincinnati have all filed H-1B petitions for data science and machine learning positions. Ohio's concentration of Fortune 500 companies and major healthcare systems makes it a more active sponsorship market than many comparable states.
Which visa types are most common for machine learning jobs in Ohio?
The H-1B is the most common visa for machine learning roles in Ohio, as these positions typically qualify as specialty occupations requiring a bachelor's degree or higher in computer science, statistics, or a related field. Candidates with a master's or PhD may also have access to the H-1B advanced degree exemption. International students completing degrees at Ohio State or Case Western Reserve often transition from OPT or STEM OPT while pursuing H-1B sponsorship.
Which cities in Ohio have the most machine learning sponsorship jobs?
Columbus is Ohio's primary hub for machine learning sponsorship, driven by its concentration of financial services firms, insurance companies, and a growing tech sector. Cleveland follows, with demand concentrated in healthcare AI at institutions like Cleveland Clinic and University Hospitals. Cincinnati sees activity from consumer goods and logistics companies. Columbus also benefits from proximity to Ohio State University, which supplies a consistent pipeline of machine learning talent.
How to find machine learning visa sponsorship jobs in Ohio?
Migrate Mate is built specifically for international candidates searching for visa-sponsored roles. You can filter by state and job category to surface machine learning positions in Ohio from employers with active sponsorship histories. This is more targeted than general job searches because Migrate Mate focuses on roles where sponsorship is a stated or demonstrated employer practice, saving you time screening out positions that won't support visa candidates.
Are there any Ohio-specific considerations for machine learning visa sponsorship candidates?
Ohio's lower cost of living compared to coastal tech markets means prevailing wage requirements for machine learning roles are generally set at levels that reflect the regional labor market, which can make Ohio employers more competitive on compensation relative to visa costs. Ohio State University, Case Western Reserve, and the University of Cincinnati produce graduate-level machine learning talent that employers actively recruit, creating established pipelines that some companies have built their sponsorship programs around.
What is the prevailing wage for sponsored machine learning 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.