Mô tả công việc
• Develop, train, and deploy reinforcement learning algorithms for robotic motion and manipulation tasks.
• Build and optimize simulation infrastructure to support large-scale policy training for general-purpose robots.
• Collaborate with the controls team to integrate learned policies into the robot's existing control stack.
• Define performance metrics, test learned policies, and evaluate their effectiveness in real-world scenarios.
Yêu cầu
• Bachelor's or Master's, PhD's degree in computer science, AI, Mechatronics, Control Engineering - Automation, or a related field
• Proficiency in writing production-quality code using PyTorch/Tensorflow/JAX.
• Familiarity with online and offline RL algorithms, such as PPO and SAC.
• Familiarity with simulation technologies (e.g., IsaacGym, IsaacLab, Mujoco)
• Experience in tuning hyperparameters, reward engineering, and optimizing RL training processes.
• Knowledge of RL techniques, including domain randomization, curriculum learning, and reward shaping.
• Familiarity with machine learning evaluation tools like TensorBoard or Weights & Biases.
• Understanding of the latestest development and framework in RL for locomotion, manipulation and navigation
Quyền lợi
Thưởng
Competitive salary and benefits package (Open-minded about salary negotiations).
Đào tạo
Opportunities for professional development and growth.
Hoạt động nhóm
A collaborative and supportive work environment.
Flexible work arrangements.
Thông tin khác
NGÀY ĐĂNG
13/03/2025
CẤP BẬC
Nhân viên
NGÀNH NGHỀ
Công Nghệ Thông Tin/Viễn Thông > Phần Mềm Máy Tính
KỸ NĂNG
Model Tuning, PyTorch, Reinforcement Learning, Robotic Design, Production-Quality Code
LĨNH VỰC
Dịch vụ Y tế/Chăm sóc sức khỏe
NGÔN NGỮ TRÌNH BÀY HỒ SƠ
Bất kỳ
SỐ NĂM KINH NGHIỆM TỐI THIỂU
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