Computer Vision Engineer (Part-time / Remote)

Job Description

We are currently seeking a Computer Vision Engineer who will contribute to the vision analytics for automated crop inspection.

If you are passionate about changing one of the most untouched, but potential industry with machine learning and computer vision, this is your opportunity to work with a great team.

You will be developing algorithms/models for crop(leaf, fruit, node, flower) index extraction which will be implemented into the self-driving robots.

Key Responsibilities

•

Working with the data science team to research, develop and optimize computer vision and deep learning models for crop status identification 

Required Characteristics

•

At least 2 years of experience in computer vision or deep learning for object detection and tracking along with semantic or instance segmentation in industrial domain (academic experience as well)  

•

BSc/MSc in Computer Science, Data Science, Machine Learning preferred but in related fields are also welcome to apply provided they have a significant experience in computer vision 

•

Experience with any machine/deep learning frameworks like Tensorflow, PyTorch, or Keras

•

Experience with image processing with datasets except MNIST or CIFAR

•

Ability to transform research articles into the working solutions to solve real-world problems

•

Must be able to produce solutions independently in an organized manner and also be able to work in a team with good communication skills  

Preferred Characteristics

•

Curiosity, eagerness and motivations to be involved in Agri-Technology 

•

Have worked on robotics with computer vision algorithms (frame transformations, camera calibration, optical flow, etc.)

•

Have knwoledge of latest 3D sensing, reconstruction, metrology technologies

Position Type and Location

•

Term of labor contract : 3 months

•

Working hours : 8 hours / day , Mon-Fri (5days per week)

•

Location : Remote work

인재풀 등록 방법

인재풀 등록 바로가기 당장은 아니더라도 향후 ioCrops 팀 합류에 관심이 있으시다면 이력서를 등록해주세요! 채용이 오픈되었을 때 가장 먼저 소식을 알려드릴게요! 인재풀 등록 양식 바로가기 이력서 등록 시 함께 첨부해주시면 더욱 좋아요. - 경력기술서, 자기소개서 - Github 주소 채용에 필요하지 않은 과도한 개인정보 및 연봉정보는 포함시키지 말아주세요. 인재풀로 등록하신 포지션 뿐 아니라, 지원자님의 역량과 경험이 발휘될만한 다른 포지션이 있다면 입사 지원을 요청드릴 수 있어요!