Machine Learning Engineer

5 days ago


Bengaluru, Karnataka, India Social Hardware Full time

Overview:

Join Social Hardware's cutting-edge robotics team to build advanced AI/ML models powering our next-generation humanoid and industrial robots. You'll work at the intersection of machine learning, reinforcement learning, and physical robotics, building scalable learning systems for real-world deployment.

Responsibilities:

  • Develop and deploy machine learning models for perception, control, and reinforcement learning in humanoid and industrial robots.
  • Design synthetic data pipelines and tools to accelerate model training and evaluation.
  • Collaborate with robotics, hardware, and software teams to integrate AI modules into ROS/ROS2-based platforms.
  • Implement and optimise models for real-time inference on embedded platforms (NVIDIA Jetson, GPUs, etc.).
  • Analyze field data from deployed robots and iterate on learning models for continuous improvement.

Requirements:

  • 2+ years of experience in AI/ML engineering, ideally with robotics, autonomous systems, or computer vision.
  • Proficiency in Python and ML frameworks (PyTorch, TensorFlow, etc.).
  • Experience with reinforcement learning, imitation learning, or similar approaches for physical agents.
  • Strong grasp of neural network optimisation, transfer learning, and synthetic data generation.
  • Familiarity with integrating ML models on robotics platforms (ROS, ROS2 a plus).
  • Experience with real-world robotics data, sensor fusion, and control systems is highly desirable.


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