Machine Perception Engineer

2 weeks ago

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

Silana is a pioneering automated fashion production startup based in Newark, NJ, revolutionizing the fashion industry by fully automating the production process. Our mission is to address issues such as long lead times, high CO2 emissions from transportation, and poor working conditions in fashion production, while prioritizing sustainability and social responsibility.

Job Description

We are seeking a highly skilled Machine Perception Engineer to join our team at Silana. As a key member of our cross-functional team, you will be responsible for developing and implementing computer vision and machine learning algorithms for 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: Work with external suppliers of vision systems and sensor systems, stay up-to-date with the latest research and products relevant to our work, 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 the architecture, provide information for processing algorithms, and be involved in all phases of model development, including data collection, analysis, prototyping, testing, and optimization.
  • Simulation and Machine Learning: Train machine learning models on a computing cluster for visual perception tasks in pick & place applications and optimize neural networks for efficient execution on embedded devices.
  • Documentation: Create and maintain detailed documentation of design choices, configurations, and procedures, and conduct tests for validation and qualification of inspection systems.
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 (Pytorch, Tensorflow, scikit learn, OpenCV).
  • Analytical Skills: Creative problem-solving, attention to detail, and ability to take pragmatic shortcuts to reach goals.
  • Communication: Excellent communication and teamwork skills.

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