Senior Machine Learning Engineer, Reinforcement Learning

🔥 22 minutes ago

🏈 Ohio – Remote

🏈 Ohio – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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Path Robotics

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

🤖 Artificial Intelligence

🔧 Hardware

💰 $100M Series C on 2021-07

Manufacturing • Artificial Intelligence • Hardware

Path Robotics is a company that specializes in advanced robotic welding systems designed to optimize manufacturing processes with precision and efficiency. They offer Robots-as-a-Service (RaaS), eliminating the need for significant upfront capital expenditure. Their AI-driven robotic systems learn and adapt to improve welding performance over time. Path Robotics' solutions are integrated seamlessly into existing production lines, working with materials like carbon steel, stainless steel, and aluminum. They cater to various industries, including transportation, manufacturing, and construction, providing unmatched precision and adaptability to help businesses achieve their production goals.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• 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!