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Helper Reinforcement Learning Jobs in Ohio (NOW HIRING)

... reinforcement learning, approaches such as Bayesian, deep convolutional and graph neural network ... and help shape the future of RF sensing and electronic warfare by developing innovative ...

Deep learning, Natural language processing (NLP), Causal inference, Reinforcement learning and ... help the employer, employee and/or applicant identify tasks where reasonable accommodations may ...

... AI, and reinforcement learning where applicable. * Oversee the full model lifecycle: data ... to help companies and people move forward. With headquarters in Reading, PA, Penske and its ...

... AI, and reinforcement learning where applicable. * Oversee the full model lifecycle: data ... to help companies and people move forward. With headquarters in Reading, PA, Penske and its ...

Deep learning, Natural language processing (NLP), Causal inference, Reinforcement learning and ... help the employer, employee and/or applicant identify tasks where reasonable accommodations may ...

Senior Robotics Software Engineer

Columbus, OH ยท On-site

$118K - $156K/yr

You'll also help us advance our planning and control by combining classical techniques with modern ... Advance the stack with learning-based methods and simulation - reinforcement learning, learned ...

Senior Robotics Software Engineer

Columbus, OH ยท On-site

$118K - $156K/yr

You'll also help us advance our planning and control by combining classical techniques with modern ... Advance the stack with learning-based methods and simulation - reinforcement learning, learned ...

... and reinforcement learning), you will directly contribute to the development of scalable Data ... At P&G, we believe that diverse experiences help build strong leaders. Mobility is a key component ...

Showing results 21-40

Helper Reinforcement Learning information

What is the difference between Helper Reinforcement Learning vs Data Scientist?

AspectHelper Reinforcement LearningData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; knowledge of reinforcement learningDegree in Data Science, Statistics, Computer Science; proficiency in programming and analytics
Work EnvironmentResearch labs, AI development teams, tech companiesBusiness analytics, research, consulting firms, tech companies
Industry UsageAI development, machine learning projectsData analysis, predictive modeling, business insights
Common Search/ComparisonHelper Reinforcement Learning vs Data Scientist

Helper Reinforcement Learning focuses on developing algorithms that enable machines to learn through interactions, often requiring knowledge of reinforcement learning techniques. Data Scientists analyze data to extract insights, build models, and support decision-making. While both roles involve programming and data handling, Helper Reinforcement Learning is more specialized in AI algorithm development, whereas Data Scientists work broadly across data analysis and modeling in various industries.

What are the most commonly searched types of Reinforcement Learning jobs in Ohio?

The most popular types of Reinforcement Learning jobs in Ohio are:

What cities in Ohio are hiring for Helper Reinforcement Learning jobs?

Cities in Ohio with the most Helper Reinforcement Learning job openings:

Infographic showing various Helper Reinforcement Learning job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 18% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Machine Learning Engineer, Robot Learning

Columbus, OH โ€ข On-site

Path Robotics
Industrial Automation Equipment Manufacturingย โ€ขย 201 - 500 employees

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 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 seeking a skilled and motivated Machine Learning Engineer with expertise in modern robotics and manipulation to join our Robot Learning team to build agentic AI systems for industrial applications. The ideal candidate will have experience in robotics, with a focus on developing and implementing advanced manipulation techniques, motion control systems, and planning algorithms for autonomous robots. 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.
What You'll Do
  • Work on the development and deployment of behavioral cloning (BC), reinforcement learning (RL), and diffusion models to solve complex robotic tasks.
  • Leverage multi-modal data, including image-based data, force, and torque to enhance robotic manipulation and control.
  • Design and implement vision-language-action (VLA) models for more intelligent and responsive robotic systems.
  • Craft strategies for the entire solution's lifecycle, including data collection, fleet learning, and continuous learning.
  • Develop, optimize, and deploy learning-based methods for robot control and object manipulation algorithms on a fleet of industrial robotic cells.
  • Collaborate with hardware and software teams to integrate manipulation, control, and planning algorithms into robotic platforms.
  • Stay updated with the latest advancements in robotics, control theory, and planning algorithms.
Who You Are
  • Ph.D. or Master's degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related field.
  • Proven track record in publishing at top conferences (e.g., NeurIPS, ICLR, ICML, CoRL, RLC).
  • Experience with robotic simulation tools (e.g., Isaac Sim, MuJoCo).
  • Experience with machine learning techniques applied to robot manipulation.
  • Experience building models from scratch and deploying them in real-world applications.
  • Experience with pose estimation, segmentation, active perception, and affordance-based bin picking.
  • Strong programming skills in languages such as C++ or Python.
  • Experience with robotic simulation tools (e.g., Isaac Sim, MuJoCo).
  • Proven track record of deploying scalable solutions for autonomous robotic systems.
  • Strong communication skills, with the ability to convey complex technical concepts to a diverse audience.
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.