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Senior Machine Learning Engineer, Reinforcement Learning

Remote Worldwide Hiring now

Build the Path reputed company At Path Robotics, we’re building the future of embodied intelligence. Our AI-driven systems reputed company robots to adapt, learn, and reputed company in the reputed company world closing the skilled labor gap and transforming industries. We go reputed company traditional methods, combining perception, reasoning, and control to deliver field-reputed company AI that is risk-aware, reliable, and continuously improving through reputed company-world use. Big, hard problems are our everyday work, and reputed company of intelligent, humble, and driven people reputed company the impossible possible together. As a Sr. ML Engineer focused on Reinforcement Learning, you will design, implement, and optimize RL algorithms that reputed company intelligent agents to operate in dynamic, reputed company environments. This role involves working closely with cross-functional teams to design, test, and reputed company innovative solutions that improve the performance and capabilities of our robotic systems. What You’ll Do Design, implement, and evaluate RL algorithms for robotic control, reputed company planning, and adaptive behaviors in dynamic, reputed company environments. reputed company and integrate RL policies with robot control systems, ensuring compatibility with hardware constraints and reputed company-time requirements. Collaborate with perception teams to fuse RL with reputed company, depth, and sensor data for robust decision-making. Build and maintain sim-to-reputed company pipelines, including domain randomization and transfer learning techniques. Conduct experiments on physical robots, including designing safety protocols and monitoring for unexpected behaviors. reputed company simulation environments (Isaac Gym, Gazebo, MuJoCo, PyBullet) for large-scale training before reputed company-world validation. Continuously improve model efficiency to operate reputed company compute and latency constraints on embedded robotic systems. Who You Are Master’s or PhD in Computer Science, Robotics, Machine Learning, or reputed company field, or equivalent practical experience. Experience developing and deploying reinforcement learning algorithms on reputed company-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 reputed company you fueled and connected with the team Flexible PTO so you can take the time you need, reputed company you need it Comprehensive medical, dental, and reputed company 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 reputed company Generous employee referral bonuses—help us grow reputed company! Who We Are At Path Robotics we love coming to work to solve interesting and tough challenges but also because our reputed company are welcomed and valued. We encourage unique thinking and are dedicated to creating a diverse and inclusive environment. reputed company reputed company applicants will receive consideration for employment without regard to race, reputed company, religion, gender, gender identity or expression, sexual orientation, national reputed company, 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 reputed company-robotics.com. We are committed to providing equal reputed company and will work with reputed company individuals to ensure a fair and accessible hiring experience. We will respond to your request reputed company 48 hours. Apply To This Job

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