Skild

Skild AI is seeking a Computer Vision AI & ML Engineer to design, build, and deploy advanced perception systems for real-world robotics and automation. You will work across the full machine learning lifecycle—model development, data strategy, evaluation, and production integration—to deliver robust, high-performance vision capabilities. This role combines applied research with hands-on engineering and offers the opportunity to influence both architecture and roadmap decisions.

Skild AI is seeking a Software Engineer to develop and optimize the software infrastructure and tools for training cutting-edge AI models. This role involves building scalable and efficient training pipelines and frameworks that support the entire machine learning lifecycle, from data preparation to model deployment. You will collaborate with researchers and machine learning engineers to integrate new algorithms and techniques, pushing the boundaries of AI in real-world robotics. The position also focuses on exploring efficient data utilization within training pipelines.

Skild AI is seeking a Software Engineer to join their team and work on deploying cutting-edge AI models for embodied systems. This role focuses on optimizing AI inference processes for models ranging from lightweight to billion-parameter scale, ensuring robots operate efficiently and intelligently in real-world scenarios. You will bridge the gap between systems and machine learning, directly enhancing AI model power and adaptability by maintaining consistent performance under varying compute and hardware constraints.

Skild AI is seeking a Computer Vision AI & ML Engineer to design, build, and deploy advanced perception systems for real-world robotics and automation. You will work across the full machine learning lifecycle—model development, data strategy, evaluation, and production integration—to deliver robust, high-performance vision capabilities. This role combines applied research with hands-on engineering and offers the opportunity to influence both architecture and roadmap decisions.

Skild AI is seeking a Machine Learning Engineer to design and implement cutting-edge reinforcement learning algorithms for robotic applications. This role involves conducting experiments, optimizing models for real-world robotic environments, and collaborating with robotics, research, and engineering teams. The work will directly contribute to the development of intelligent, adaptable robots capable of autonomous learning and complex task performance.

Skild AI is building the world's first general-purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We are seeking a Machine Learning Engineer to design and implement cutting-edge reinforcement learning algorithms for robotic applications. This role involves conducting experiments, optimizing models for real-world robotic environments, and collaborating closely with our robotics, research, and engineering teams. Your work will directly contribute to the development of intelligent, adaptable robots capable of autonomous learning and complex task performance.

Skild AI is seeking a Research Engineer to join our post-training team. In this role, you will be responsible for enhancing Skild's foundation models and deploying them onto robots in real-world scenarios. You will collaborate with customers and utilize deployment data to ensure reliable robot behavior, focusing on safety, efficiency, and robustness under operational constraints. This position bridges the gap between strong lab performance and dependable customer deployments, defining the standard for scaling autonomous systems into global infrastructure.