Skild AI is seeking a Machine Learning Engineer, Reinforcement Learning to join their team in the San Francisco Bay Area. The role involves designing and implementing cutting-edge reinforcement learning algorithms for robotic applications.

As a Machine Learning Engineer, you will be responsible for developing and implementing state-of-the-art reinforcement learning algorithms, conducting experiments, and optimizing models for real-world robotic environments. You will collaborate closely with robotics, research, and engineering teams, and your work will directly impact the development of intelligent robots capable of learning and performing complex tasks autonomously.