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hardware validation (test solutions) jobs near columbus

Senior Machine Learning Engineer - Reinforcement Learning

Path Robotics -
Columbus, OH

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Job Details

10 days ago

Benefits

Paid parental leave
Health insurance
Dental insurance
401(k)
Paid time off
Parental leave
Vision insurance
Referral program
Food provided

Qualifications

AI models
TensorFlow
Robot integration
Statistics
Computer science
Reinforcement learning
Computer Science
PyTorch
Embedded systems
Robotics engineering
AI platforms (beyond public GPTs)
Computational framework
Master's degree
Doctoral degree in Computer Science
Production systems
Doctor of Philosophy
Model deployment
Data pipelines
Model training
Master's degree in computer science
Machine learning libraries
Senior level
Cross-functional collaboration
Control systems
Machine learning frameworks
Data-driven decision making
Robotics
Safety protocol implementation
Gym experience
Cross-functional communication

Full 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 [email protected]. 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.

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hardware validation (test solutions) jobs in columbus

Senior Machine Learning Engineer - Reinforcement Learning

Software/Hardware Engineer

Test Engineer

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DVT Engineer

Controls Design Engineer (EPMS), CDE

Software Engineer

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Radio Frequency (RF) Engineer Lead

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2nd Shift Supervisor - Thermal/HVAC Lab

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