Machine Learning Engineer for Robotics Systems

6 days ago


San Francisco, California, United States Unreal Gigs Full time
Job Overview:

As a Machine Learning Engineer for Robotics Systems at Unreal Gigs, you will work closely with cross-functional teams to integrate AI models with mechanical and electronic systems, ensuring seamless interaction between AI-driven behaviors and physical components.

Required Skills and Qualifications:
  • Machine Learning and Deep Learning: Proficiency in frameworks such as TensorFlow, PyTorch, or Keras, particularly for applications in robotics.
  • Computer Vision and Perception: Strong knowledge of computer vision techniques (e.g., object detection, segmentation) and experience with OpenCV or similar libraries.
  • Reinforcement Learning and Adaptive Systems: Familiarity with reinforcement learning algorithms for training robots to adapt and improve autonomously.
  • Programming Skills: Proficiency in Python for AI development and C++ for real-time deployment and integration with robotic systems.

Benefits include comprehensive medical, dental, and vision insurance plans, paid time off, flexible work schedules, and opportunities for training and career advancement.


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