Software Engineer, AI Training and Infrastructure

Skild AI is pioneering the development of general-purpose robotic intelligence that adapts to new scenarios. They are seeking a Software Engineer to develop and optimize software infrastructure for training AI models, focusing on building efficient training pipelines and collaborating with researchers.

Responsibilities:

• Develop and maintain robust, scalable, and distributed training pipelines (data preprocessing, training orchestration, and model evaluation) and frameworks for large-scale AI models
• Optimize training processes for performance and resource utilization, ensuring scalability and reliability
• Collaborate with researchers and machine learning engineers to integrate state-of-the-art algorithms and techniques into training pipelines
• Monitor and analyze training, identifying bottlenecks and proposing solutions to improve efficiency and performance
• Ensure the robustness and reliability of the training infrastructure, including automated testing and continuous integration