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As a Machine Learning Engineer, you'll design and implement advanced reinforcement learning algorithms for robotic applications. Responsibilities include conducting experiments, optimizing models for real-world environments, and collaborating with cross-functional teams to integrate these models into robotic systems, directly impacting the deployment of intelligent robots.

As a Deep Learning Manipulation Engineer, you will design, train, and deploy algorithms for robotic manipulation, ensuring the models are robust and efficient. Collaborate with cross-functional teams to develop scalable solutions that enhance robotic capabilities in real-world applications.

As a Hardware Engineer, you will design, develop, and test hardware systems for robotics, working with both mechanical and electrical components. Responsibilities include creating CAD models, integrating hardware with software, conducting tests, troubleshooting issues, and preparing documentation.