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.
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 a highly modular and high-performance AI infrastructure and pipelines for training, testing, and deployment.
Work in a multidisciplinary environment of deep learning applications.
Collaborate with the software team to ensure fast integration of new AI features.
Write high-quality, optimized, and well-tested code.
Requirements:
B.Sc/M.Sc in Computer Science or a related field.
5+ years of experience in software development.
Demonstrated excellence (e.g., elite unit background, academic distinctions, upward career trajectory).
Proven experience in developing and deploying deep learning models in a multi-node environment.
Proficiency working with PyTorch and AI pipelines.
Experience developing in the cloud (AWS, GCP) and multi-node environments.
B.Sc/M.Sc in Computer Science or a related field.
5+ years of experience in software development.
Demonstrated excellence (e.g., elite unit background, academic distinctions, upward career trajectory).
Proven experience in developing and deploying deep learning models in a multi-node environment.
Proficiency working with PyTorch and AI pipelines.
Experience developing in the cloud (AWS, GCP) and multi-node environments.
This position is open to all candidates.
