Save Job Back to Search Job Description Summary Similar Jobs Opportunity to lead cutting-edge research and development in embodied Al Topnotch facilities and strong teams to support your groundbreaking work About Our Client Our client is a listed technology company embarking on a transformative journey to establish an innovative robotics division, poised to revolutionize the industry with advanced embodied Al solutions. Job Description Conduct cutting-edge research in embodied Al, focusing on imitation learning,reinforcement learning,and robotic manipulation Design, develop, and implement advanced algorithms and architectures for embodied Al systems.Lead and mentor a team of highly skilled engineers and researchers to deliver innovative solutions. Collaborate with cross-functional teams to integrate embodied Al technologies into robotics products Stay at the forefront of embodied Al research,contributing to scientific publications and patents Drive the strategic direction of the company's embodied Al and robotics initiatives The Successful Applicant Ph.D.in Computer Science,Robotics, or a related field, with a strong focus on embodied Al Proven track record of groundbreaking research and development in embodied Al and robotics Deep expertise in imitation learning,reinforcement learning, and robotic manipulation Exceptional programming skills in languages such as Python, C++, and ROS Strong leadership and communication skills, with the ability to inspire and manage high-performing teams Proven ability to publish in high-end conferences and journals (e.g., ICRA, IROS, CORL, NeurIPS,ICLR) Passion for pushing the boundaries of embodied Al and robotics technology What's on Offer Highly competitive salary and comprehensive benefits package State-of-the-art facilities and resources to support your groundbreaking research Opportunity to lead a talented team of engineers and researchers Collaborative and innovative work environment with a focus on cutting-edge robotics projects Potential for significant career growth and impact in a rapidly evolving field Contact Marcus Zhu Quote job ref JN-022024-6349101 Phone number +86 21 6035 3505 Job summary Function IT Specialisation Algorithm What is your area of specialisation? Technology & Telecoms Location Shanghai Contract type Permanent Consultant name Marcus Zhu Consultant phone +86 21 6035 3505 Job Reference JN-022024-6349101
