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42dotÀÇ Computer Vision Research Engineer´Â ¾ÈÀüÇÑ ÀÚÀ²ÁÖÇà ±â¼ú°ú HD Áöµµ Á¦ÀÛ ÀÚµ¿È­/¾÷µ¥ÀÌÆ® ±â¼úµéÀ» ¿¬±¸ °³¹ßÇÕ´Ï´Ù. °íµµÈ­µÈ ÄÄÇ»ÅͺñÀü°ú ±â°èÇнÀ ±â¼úÀ» È°¿ëÇÏ¿© ÀÚÀ²ÁÖÇàÂ÷¿¡¼­ ÃëµæµÇ´Â ´Ù¾çÇÑ ½Ã°¢Á¤º¸µéÀ» ó¸®ÇÏ°í, »ç¶÷ ¼öÁØÀÇ ÀÚÀ²ÁÖÇà ÀÎ½Ä ±â´ÉÀ» ±¸ÇöÇÕ´Ï´Ù.

Responsibilities (Ã¥ÀÓ)

  • ÀÚÀ²ÁÖÇà ±â¼ú±¸ÇöÀ» À§ÇÑ 3Â÷¿ø ÄÄÇ»ÅͺñÁ¯ ¹× ±â°èÇнÀ ¾Ë°í¸®Áò ¿¬±¸ °³¹ß
  • HD Áöµµ Á¦ÀÛ ¹× ¾÷µ¥ÀÌÆ® ÀÚµ¿È­ ±â¼úÀÇ ¿¬±¸ °³¹ß

Research Areas (¿¬±¸°³¹ßºÐ¾ß)

  • 3D shape modeling and processing
  • Object pose estimation and tracking
  • Efficient and scalable vision
  • Vision and robotics
  • Low-level and physics-based vision

Qualifications (ÀÚ°Ý¿ä°Ç)

  • À¯°ü °æ·Â 5³âÂ÷ ÀÌ»ó (¹Ú»ç Á¹¾÷ ¿¹Á¤ÀÚ Áö¿ø °¡´É)
  • ÄÄÇ»ÅͺñÁ¯, ·Îº¸Æ½½º, ¶Ç´Â ±â°èÇнÀ°ú °ü·ÃµÈ Àü°øÀÇ ¼®»ç/¹Ú»ç ÇÐÀ§ ÀÌ»ó ȤÀº µ¿µîÇÑ °æ·Â
  • ÄÄÇ»ÅͺñÁ¯ ¹× ±â°èÇнÀ¿¡ ´ëÇÑ ÀÌ·Ð ¹× ½Ç¹« Áö½Ä
  • ¶Ù¾î³­ ÇÁ·Î±×·¡¹Ö ±â¼ú(C/C++, Python µî)

Preferred Qualifications (¿ì´ë»çÇ×)

  • ÀÚÀ²ÁÖÇà ¹× ·Îº¸Æ½½º °ü·Ã ¿¬±¸ °³¹ß °æÇè
  • GPS, IMU, Ä«¸Þ¶ó, LIDAR ¿Í °°Àº ´Ù¾çÇÑ ¼¾¼­¸¦ »ç¿ëÇÑ °³¹ß °æÇè
  • VR/AR °ü·Ã ¾îÇø®ÄÉÀÌ¼Ç °³¹ß °æÇè
  • º´·Ä ÇÁ·Î±×·¡¹Ö ¹× ½Ã½ºÅÛ ÃÖÀûÈ­ °ü·Ã °³¹ß °æÇè
  • °ü·Ã ºÐ¾ß Àú¼­/ÇмúÈ°µ¿ ÀÌ·Â(CVPR, ICCV, ECCV, IJCV, TIP, TPAMI µî)

Interview Process (ÀüÇüÀýÂ÷)

  • ¼­·ùÀüÇü - È­»ó¸éÁ¢ (1½Ã°£ ³»¿Ü) - ´ë¸é ȤÀº È­»ó¸éÁ¢ (3½Ã°£ ³»¿Ü) - ÃÖÁ¾ÇÕ°Ý
  • ÀüÇüÀýÂ÷´Â Á÷¹«º°·Î ´Ù¸£°Ô ¿î¿µµÉ ¼ö ÀÖÀ¸¸ç, ÀÏÁ¤ ¹× »óȲ¿¡ µû¶ó º¯µ¿µÉ ¼ö ÀÖ½À´Ï´Ù.
  • ÀüÇüÀÏÁ¤ ¹× °á°ú´Â Áö¿ø¼­¿¡ µî·ÏÇϽŠÀ̸ÞÀÏ·Î °³º° ¾È³»µå¸³´Ï´Ù.


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