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Artificial Intelligence Systems Engineer for Robotics Innovation
1 month ago
We are seeking an experienced AI Systems Engineer to join our team at ZipRecruiter. As a key member of our robotics development team, you will be responsible for designing and implementing cutting-edge artificial intelligence systems for robotic applications.
About the RoleThis is a fantastic opportunity to work on challenging projects that will help shape the future of robotics innovation. You will be working closely with cross-functional teams to develop and integrate AI models into robotic systems.
The ideal candidate will have a strong background in machine learning, computer vision, and robotics. They will also possess excellent programming skills in Python and C++ and experience with frameworks such as TensorFlow and OpenCV.
Main Responsibilities- Design and Implement AI Models: Develop and implement AI models for object detection, path planning, obstacle avoidance, and decision-making using machine learning, deep learning, and reinforcement learning techniques.
- Build Perception and Computer Vision Capabilities: Integrate computer vision algorithms for perception, recognition, and scene understanding to enable robots to interpret visual data and interact intelligently with their surroundings.
- Develop Algorithms for Autonomous Navigation and Path Planning: Design algorithms that allow robots to navigate dynamic environments autonomously using SLAM (Simultaneous Localization and Mapping), path planning, and motion control for safe and efficient movement.
- Implement Reinforcement Learning for Adaptive Behavior: Use reinforcement learning and other adaptive algorithms to enable robots to learn from experience and improve performance by creating systems that can self-optimize and respond to new tasks and challenges.
- Optimize Models for Real-Time Performance on Embedded Systems: Adapt and compress AI models for deployment on embedded or edge computing platforms ensuring that models run efficiently on hardware-constrained robotic systems.
- Machine Learning and Deep Learning Expertise: Proficiency in machine learning and deep learning frameworks such as TensorFlow, PyTorch, or Keras particularly for applications in robotics.
- Computer Vision and Perception Knowledge: Strong knowledge of computer vision techniques (e.g., object detection, segmentation) and experience with OpenCV or similar libraries.
- Programming Skills: Proficiency in Python for AI development and C++ for real-time deployment and integration with robotic systems.
- Embedded and Edge Computing Experience: Experience optimizing and deploying AI models on edge devices (e.g., NVIDIA Jetson, ARM) for real-time robotic applications.
We offer a competitive salary range of $120,000-$180,000 per year based on your level of experience and qualifications. Our comprehensive benefits package includes health and wellness programs, paid time off, and opportunities for professional development and career advancement.
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