E-06 Multi-agent Systems Research Engineer
岗位简介
The focus of our team is to develop the next-generation AI research and system with the specific interests in multi-agent planning and its connections to machine perception and cognitive robotics. A candidate should have a strong interest in one or multiple of the following topics.
• Multi-agent task planning and collaboration.
• Multi-agent systems, predictive multi-agent systems.
• Video understanding: human activity recognition and intent prediction.
• Reinforcement learning, multi-agent reinforcement learning.
• Algorithmic game theory.
• Theory of mind, Bayesian cognitive science.
• Physical and social interaction, human communications.
• Multi-agent task planning and collaboration.
• Multi-agent systems, predictive multi-agent systems.
• Video understanding: human activity recognition and intent prediction.
• Reinforcement learning, multi-agent reinforcement learning.
• Algorithmic game theory.
• Theory of mind, Bayesian cognitive science.
• Physical and social interaction, human communications.
岗位职责
• Invent, analyze, design, develop and optimize multi-agent planning algorithms.
• Collaborate in a team environment across multiple scientific and engineering disciplines, making the architectural trade-offs required to rapidly deliver software solutions.
• Write clean readable code, debug complex problems that span systems, prioritize ruthlessly and get things done with a high level of efficiency.
• Learn constantly, dive into new areas with unfamiliar technologies.
• Collaborate in a team environment across multiple scientific and engineering disciplines, making the architectural trade-offs required to rapidly deliver software solutions.
• Write clean readable code, debug complex problems that span systems, prioritize ruthlessly and get things done with a high level of efficiency.
• Learn constantly, dive into new areas with unfamiliar technologies.
岗位要求
• Master or Ph.D. degree in in computational cognitive science, robotics, machine learning, applied mathematics, statistics, or related fields.
• Broad understanding of the full machine vision pipeline from sensors to high-level algorithms.
• Proven publication track record at conferences such as ICML, NeurIPS, ICLR, AAAI, ICRA, IROS, TPAMI, IJRR, etc.
• Demonstrated software engineer experience via an internship, work experience, coding. competitions, or widely used contributions in open source repositories (e.g. GitHub).
• Broad understanding of the full machine vision pipeline from sensors to high-level algorithms.
• Proven publication track record at conferences such as ICML, NeurIPS, ICLR, AAAI, ICRA, IROS, TPAMI, IJRR, etc.
• Demonstrated software engineer experience via an internship, work experience, coding. competitions, or widely used contributions in open source repositories (e.g. GitHub).
截止申请日期
长期有效
申请方式
可直接填写下表递交材料，如有其它问题，可以联系招聘邮箱: hr@bigai.ai