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Reinforcement Learning Jobs Near Me

Deep learning, Natural language processing (NLP), Causal inference, Reinforcement learning and emerging AI technologies. * Serve as the technical escalation point for complex analytical and modeling ...

Deep learning, Natural language processing (NLP), Causal inference, Reinforcement learning and emerging AI technologies. * Serve as the technical escalation point for complex analytical and modeling ...

Advance the stack with learning-based methods and simulation - reinforcement learning, learned planners, and sim-to-real training, alongside classical approaches. Who You Are * A Bachelor's in ...

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How much do reinforcement learning jobs pay per year?

As of Jul 16, 2026, the average yearly pay for reinforcement learning in the United States is $58,347.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,500.00 and $68,000.00 per year, depending on experience, location, and employer.
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What states have the most Reinforcement Learning jobs? States with the most job openings for Reinforcement Learning jobs include:
What are the most commonly searched types of Reinforcement Learning jobs? The most popular types of Reinforcement Learning jobs are:
A map of the United States highlighting the number of Reinforcement Learning job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Reinforcement Learning job openings in each state, with California having the most at 2 and Hawaii the least at 0.
Senior Machine Learning Engineer - Reinforcement Learning

Senior Machine Learning Engineer - Reinforcement Learning

Path Robotics

Columbus, OH • On-site, Remote

$118K - $156K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago


Job description

Build the Path Forward
At Path Robotics, we're attacking a trillion dollar opportunity - doing things that have never been done before to support an industry hurting from a lack of skilled labor. Big, hard problems are what Path tackles every day, and our people are our greatest asset to get that job done. Our intelligent, hardworking team of people do the impossible every single day, yet remain incredibly kind, humble, and always ready to support one another.
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.