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42dot의 Senior Computer Vision Engineer는 안전한 자율주행 기술들을 연구 개발합니다. 고도화된 컴퓨터비전과 기계학습 기술을 활용하여 자율주행차에서 취득되는 다양한 시각정보들을 처리하고, 사람 수준의 자율주행 인식 기능을 구현합니다.
As a Senior Computer Vision Engineer at 42dot, you will focus on researching and developing advanced autonomous driving technologies. Utilizing sophisticated computer vision and machine learning techniques, you will process various visual data acquired from autonomous vehicles and implement human-level autonomous driving perception capabilities.
• 3D shape modeling and processing
• Object pose estimation and tracking
• Efficient and scalable vision
• Vision and robotics
• Low-level and physics-based vision
• Self-supervised representation learning from large-scale unlabeled scene data
• World models and closed-loop simulation for autonomous driving
• Conduct research and develop 3D computer vision and machine learning algorithms for integrating autonomous driving technology
• Perform 3D shape modeling and processing tasks
• Implement object pose estimation and tracking algorithms
• Develop efficient and scalable vision solutions
• Explore the intersection of vision and robotics
• Work on low-level and physics-based vision algorithms
• Self-supervised representation learning from large-scale unlabeled scene data
• World models and closed-loop simulation for autonomous driving
• 컴퓨터비젼, 로보틱스, 또는 기계학습과 관련된 전공의 석사/박사 학위 이상 혹은 동등한 경력
• 컴퓨터비젼 및 기계학습에 대한 이론 및 실무 지식
• 뛰어난 프로그래밍 기술(C/C++, Python 등)
• Master’s (MS) or Ph.D. in Computer Vision, Robotics, Machine Learning, or a related field
• 7+ years of relevant experience or equivalent practical experience
• Strong theoretical and practical knowledge of computer vision and machine learning algorithms
• Proficiency in programming languages such as Python and C/C++
42dot의 Senior Computer Vision Engineer는 안전한 자율주행 기술들을 연구 개발합니다. 고도화된 컴퓨터비전과 기계학습 기술을 활용하여 자율주행차에서 취득되는 다양한 시각정보들을 처리하고, 사람 수준의 자율주행 인식 기능을 구현합니다.
As a Senior Computer Vision Engineer at 42dot, you will focus on researching and developing advanced autonomous driving technologies. Utilizing sophisticated computer vision and machine learning techniques, you will process various visual data acquired from autonomous vehicles and implement human-level autonomous driving perception capabilities.
주요업무
• 자율주행 기술구현을 위한 3차원 컴퓨터비젼 및 기계학습 알고리즘 연구 개발• 3D shape modeling and processing
• Object pose estimation and tracking
• Efficient and scalable vision
• Vision and robotics
• Low-level and physics-based vision
• Self-supervised representation learning from large-scale unlabeled scene data
• World models and closed-loop simulation for autonomous driving
• Conduct research and develop 3D computer vision and machine learning algorithms for integrating autonomous driving technology
• Perform 3D shape modeling and processing tasks
• Implement object pose estimation and tracking algorithms
• Develop efficient and scalable vision solutions
• Explore the intersection of vision and robotics
• Work on low-level and physics-based vision algorithms
• Self-supervised representation learning from large-scale unlabeled scene data
• World models and closed-loop simulation for autonomous driving
자격요건
• 유관 경력 7년차 이상• 컴퓨터비젼, 로보틱스, 또는 기계학습과 관련된 전공의 석사/박사 학위 이상 혹은 동등한 경력
• 컴퓨터비젼 및 기계학습에 대한 이론 및 실무 지식
• 뛰어난 프로그래밍 기술(C/C++, Python 등)
• Master’s (MS) or Ph.D. in Computer Vision, Robotics, Machine Learning, or a related field
• 7+ years of relevant experience or equivalent practical experience
• Strong theoretical and practical knowledge of computer vision and machine learning algorithms
• Proficiency in programming languages such as Python and C/C++
