Research Scientist

Overview

Vin Motion USA is seeking a AI Motion Research Scientist to develop advanced AI algorithms for humanoid robot motion control. This position requires expertise in Reinforcement Learning (RL), Whole-Body Control (WBC), Imitation Learning, Optimal Control, and AI-powered Motion Planning. You will work closely with a world-class team of AI engineers to design intelligent, adaptive, and real-time motion control systems that enhance robotic agility and dexterity, making humanoid robots more human-like in movement.

• AI Research & Development
  • Develop and optimize Reinforcement Learning (RL), Imitation Learning models for robotic skill acquisition and motion adaptation.
  • Design and implement Whole-Body Control (WBC) and Model Predictive Control (MPC) strategies for real-time adaptation, energy efficiency, and dynamic balance.
  • Apply Deep Reinforcement Learning to real-time motion planning and trajectory optimization.
  • Utilize Sim2
    
    Real techniques to improve the transfer of AI models from simulation to real-world deployment.
  • Enhance collision avoidance, force control, and torque-based control through AI-powered predictive modeling.
  • Work closely with hardware, software, and control teams to integrate AI algorithms into real-world robotic systems.
  • Research and test efficient AI architectures optimized for edge computing and real-time execution.
  • Develop robust motion control models capable of handling uncertainty in real-world environments.
• Real-World Application
  • Contribute to prototype development and support the transition of AI technologies into real-world robotic products.
  • Collaborate with universities and research institutes to advance AI motion control research.

Education

• Master’s or Ph.D. in AI, Robotics, Mechatronics, Computer Science, or a related field.

Experience

• Minimum 3+ years of experience in AI research and development for robotics.
• Proven experience implementing AI motion control algorithms in real-world or simulated robotic systems.
• Strong understanding of robot kinematics, sensor fusion, torque control, and human-like motion generation.

Technical Skills

• Expertise in Reinforcement Learning (RL), Imitation Learning, Model Predictive Control (MPC), and Whole-Body Control (WBC).
• Proficiency in Python, C++, Tensor Flow, PyTorch.
• Experience with robotics simulation frameworks such as ROS, Mujoco, Gazebo, Isaac Gym.
• Prior experience with Edge AI optimization for real-time motion execution is a plus.

Additional Skills

• Strong problem-solving and analytical thinking abilities.
• Passion for AI research, innovation, and experimentation.
• Excellent teamwork, communication, and research presentation skills.
• Competitive compensation package with performance-based bonuses.
• Work with top AI and robotics experts in a cutting-edge environment.
• Access to top-tier AI talent, global research partnerships, and cutting-edge technology.
• Work in a dynamic and innovation-driven environment with Vingroup’s strong backing.