Antgroup-Research Staff Member-Robotics

Ant Technology Group Co., Ltd.

$100K — $150K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Ph.D or Master's degree in Robotics, Computer Science, Electrical Engineering, or related field
  • Proven experience publishing in top-tier conferences or journals
  • Strong motivation for innovative and hands-on research in robotics
  • Familiarity with maintaining impactful open-source projects is a plus
  • In-depth knowledge of areas including 3D visual grounding and deep reinforcement learning

Responsibilities

  • Conduct innovative research on embodied perception and real-to-sim foundations
  • Develop and evaluate general and real-scene simulators
  • Implement sim-to-real adaptation strategies for task and action planning
  • Apply deep reinforcement learning to solve complex robotics problems
  • Collaborate with a diverse team to foster creative solutions

Benefits

  • Inclusive work culture that promotes creativity and collaboration
  • Opportunities for continuous learning and professional development
  • Hands-on experience with cutting-edge robotics research
  • Access to prestigious publications and conferences
Full Job Description
Job description

The research scope includes but not limited to the following directions:
• Embodied perception, e.g., SLAM and 3D visual grounding
• Real-to-Sim world foundation models
• General and real-scene simulators
• Sim-to-Real adaptation, e.g., task and action planning
• Deep reinforcement learning

Job Requirement

We are looking for self-motivated, top-notch researchers to join us!
• Passion to conduct innovative and hands-on research on robotics;
• A strong track record on publishing in prestigious conferences or journals;
• Ph.D or Master degree in Robotics, Computer Science or Electrical Engineering, or a related field;
• Experience in maintaining impactful open-source projects is a plus.

We foster an inclusive culture that values creativity, collaboration, and lifelong learning.

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