Deep Learning Manipulation Engineer

About the company Skild AI is building the world's first general-purpose robotic intelligence — robust AI that adapts to unseen scenarios without failing. The company believes massive scale through data-driven machine learning is the key to unlocking widespread robot deployment across society. Skild AI seeks passionate individuals eager to explore uncharted territory and contribute to cutting-edge robotics research and engineering. About the role Skild AI is looking for a Deep Learning Manipulation Engineer to develop and refine models for robotic manipulation. The role involves designing, training, and deploying algorithms that enable robots to interact intelligently and adapt to their environments. Working closely with ML, robotics, and research teams, you will advance Skild AI's robotics capabilities so robots can perform complex tasks autonomously. Responsibilities - Design, implement, and optimize deep learning models for robotic manipulation. - Model robotic manipulation processes to enable analysis, simulation, planning, and controls. - Collaborate with cross-functional teams to develop scalable and generalizable manipulation solutions for deployment in robotic systems. - Work with inference, deployment, and application teams to integrate deep learning models seamlessly into robotic platforms. Requirements - BS, MS, or higher degree in Computer Science, Robotics, Mechanical Engineering, or a related field, or equivalent practical experience. - Proficiency in Python and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc. - Proficiency with advanced deep learning techniques and architectures, as well as reinforcement learning or imitation learning. - Experience with distributed deep learning systems. Nice to have - Not specified Benefits & perks - Not specified Compensation $100,000 - $300,000 USD base salary.