Machine Learning Engineer, Reinforcement Learning

Skild AI is building the world's first general purpose robotic intelligence that adapts to unseen scenarios. They are seeking a Machine Learning Engineer to design and implement cutting-edge reinforcement learning algorithms, conduct experiments, and collaborate closely with teams to optimize robotic models for real-world applications.

Responsibilities:

• Develop and implement state-of-the-art reinforcement learning algorithms for robotic applications
• Design and conduct experiments to train RL models and conduct real-world tests
• Collaborate closely with researchers to explore novel methods of scaling up reinforcement learning model training
• Communicate effectively with inference, application, and deployment engineers to integrate RL models into robotic systems and iterate on methods to enable robust deployment
• Analyze and interpret experimental results, iterating on model design to achieve desired performance
• Stay up-to-date with the latest research and advancements in reinforcement learning