Artificial Intelligence Engineer
3 weeks ago
Key Responsibilities:
- Develop DeepRL/Imitation learning policies that take vision, sound & proprioception as input and output joint angles/torques to solve various challenging tasks
- Develop a framework to organise multiple robot tasks and use vision/speech/text as a prompt to identify and execute tasks in a closed loop setting
- Develop policies that learn from teleoperation(LfD, RLfD)
- Develop policies that learn from large scale internet videos of tasks being performed by humans or robots(LfV)
- Develop policies by distillation or transfer learning from a pre-trained model
Requirements:
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field
- Proven experience in embedded systems development, preferably in robotics or related fields. Experience with robotic arms or AGVs is highly desirable.
- Proven experience in applying ML on vision/speech/text data for classification/regression
- Good programming skills in Python and familiarity with PyTorch, TensorFlow, or similar
- Experience implementing robotics middleware (e.g., ROS, ROS2) and hardware interfaces.
- Good understanding of simulation environments such as IsaacGym, Mujoco etc.
- Good understanding of sim to real gap and distribution shift in robotics
Location: Bengaluru, India
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