Research Engineer

Job summary

Responsibilities

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…

• Develop and implement new algorithms for training and optimizing general-purpose robot foundation models.
• Design and engineer systems to scale research from prototypes to fully deployable solutions, working with large-scale systems and datasets.
• Conduct cutting edge research across multiple disciplines (Perception, Robotics, RL/ IL, Machine Learning, etc.).
• Collaborate with a multidisciplinary team, contributing to the integration of research insights into practical robotics applications.
• Optimize machine learning models for real-world robotic systems.

What they're looking for

• BS, MS or PhD degree in Computer Science, Robotics, 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.
• Strong track record of publishing papers and/or deploying real-world applications.
• Deep technical knowledge, and research experience in deep learning, reinforcement and/or imitation learning, robotics, or computer vision.
• Experience working with robot systems and large-scale model training.

Tech stack

• Python
• PyTorch
• TensorFlow
• JAX