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Automated Fashion Production Specialist

2 months ago

Newark, New Jersey, United States silana Full time
About Silana

Silana is a pioneering automated fashion production company, revolutionizing the industry with cutting-edge technology. Our mission is to optimize production processes, reduce environmental impact, and improve working conditions.

Job Description

We are seeking a highly skilled Machine Perception Engineer to join our team. As a key member of our cross-functional team, you will be responsible for developing and implementing computer vision and machine learning algorithms for our automated fashion production processes.

Key Responsibilities
  • Design and Development: Develop, deploy, and optimize vision systems for robotic manufacturing processes, from early exploration to production.
  • Research and Procurement: Collaborate with external suppliers of vision systems and sensor systems, stay up-to-date with the latest research and products, and provide insights on failure modes.
  • Integration and Commissioning: Configure vision hardware, integrate components, and ensure real-time monitoring of operation in test and production setups.
  • Algorithms and Data Processing: Help define architecture, provide information for processing algorithms, and develop state-of-the-art processes in areas such as convolutional neural networks, anomaly detection, and object detection.
  • Simulation and Machine Learning: Train machine learning models on a computing cluster for visual perception tasks and optimize neural networks for efficient execution on embedded devices.
  • Documentation: Create and maintain detailed documentation of design choices, configurations, and procedures.
Requirements
  • Education: Bachelor's degree in Computer Graphics, Computer Science, Computer Vision, Automation Technology, Manufacturing Engineering, or a related field.
  • Experience: Minimum of 3 years of practical experience in relevant manufacturing systems with a focus on vision and perception systems.
  • Technical Skills: Experience in solving computer vision problems, fluency in Python and C++, and experience with relevant machine learning software packages.
  • Analytical Skills: Creative problem-solving, attention to detail, and ability to take pragmatic shortcuts to reach goals.
  • Communication: Excellent communication and teamwork skills.