About this role
Summary: Develop novel deep learning algorithms for dexterous manipulation and integrate them into a humanoid robot. Collaborate in a multidisciplinary team to improve production models and enhance the robot's capabilities through continuous testing and refinement.
We are building a personalized AI-based robot you can mentor
Mentee's goal is to fully integrate robotics, sensing, and AI into a humanoid robot with human-like dexterity and perception, and sufficient reasoning capabilities to execute a diverse array of tasks and continuously adapt and learn new ones. As part of the AI cycle, large language models (LLMs) are tightly integrated translating natural language commands into internal action models that are grounded in a 3D cognitive map of the world.
What You Will Do
Develop novel deep learning algorithms for dexterous manipulation, enabling highly accurate and complex operations.
Work in a multidisciplinary environment that includes vision, reinforcement learning, and animation.
Continuously improve and test production models, enhancing Menteebot's capabilities every day.
Who You Are
M.Sc/Ph.D in Computer Science or a related field.
3+ years of experience in deep learning development.
Demonstrated excellence (e.g., elite unit background, academic distinctions, upward career trajectory).
Proven record of developing state-of-the-art deep learning methods in computer vision.
Good understanding of 3D modeling, motion, and physics - Advantage.
Experience working with simulators - Advantage.