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1 week ago
We are currently seeking a skilled professional to join our team as a Machine Learning Robotics Engineer. This role involves designing and developing AI-driven control systems for humanoid robots and embodied agents.
Key Responsibilities- Integrate advanced machine learning models with physical humanoid robots, leveraging techniques such as reinforcement learning and imitation learning.
- Design real-time control frameworks that enable smooth, safe, and efficient motor actions from AI decision-making.
- Develop pipelines to align simulation-to-reality and optimize robot learning for real-world deployment.
- Apply multi-modal machine learning to enhance robot perception and adaptability.
- Collaborate with hardware teams to ensure reliable AI control execution and optimize energy efficiency.
- Conduct experiments in areas such as human-robot interaction, autonomous navigation, dexterous manipulation, and multi-agent collaboration.
To succeed in this role, you will require:
- A strong background in machine learning, particularly reinforcement learning and embodied AI systems.
- Hands-on experience with robotics simulation environments and proficiency in Python and C++/ROS2.
- A deep understanding of robotics control theory, kinematics, and sensor fusion.
- Familiarity with NVIDIA Jetson, CUDA optimization, and real-time robotics inference.
- Experience with large foundation models adapted for robotics.
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