Research Engineer, Post-training & Deployment

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…

• Research, post-train and evaluate large deep learning models for robotic manipulation tasks.
• Develop frameworks to continuously improve robot behaviors.
• Collaborate closely with our product teams to source and iterate on customer requirements to ensure technical alignment for on-site deployments.
• Own scenario setup and data collection methodologies, managing the operational lifecycle for unique customer use-cases.
• Work with our robotics teams to maintain and ensure robots are deployment-ready and execute full-stack software and hardware deployments at customer sites.

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.
• Deep technical knowledge in computer vision and deep learning for robotics, including reinforcement and imitation learning.
• Prior experience working with large-scale model training.
• Prior experience developing and deploying ML models or software on real robots.

Tech stack

• Python
• PyTorch
• TensorFlow
• JAX