Research Scientist

Overview

At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts.

Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.

• Develop new algorithms and methods for training general-purpose robot foundation models.
• Work with large scale systems and large-scale model training.

• PhD degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
• Multiple years of experience in conducting research.
• Proficiency in Python and at least one deep learning library such as PyTorch, Tensor Flow, JAX, etc.
• Publications at top-tier ML, robotics, or CV conferences (e.g., NeurIPS, ICML, ICLR, CoRL, RSS, ICRA, CVPR, ECCV, ICCV).
• Deep technical knowledge, and research experience in deep learning, reinforcement learning, robotics, or computer vision.
• Deep understanding of state-of-the-art machine learning techniques and models.
• Experience working with robot systems.
• Experience working with large-scale model training and systems.

Base Salary Range

$100,000 - $300,000 USD