Check with seller PIXTA Inc. established in Tokyo from 2005, which has 67 million stock photos, illustrations, and

PIXTA Inc. established in Tokyo from 2005, which has 67 million stock photos, illustrations, and videos from over 370 thousand contributors worldwide. PIXTA has grown to be the owner of the biggest Ecommerce platform for selling & buying licensed image, video, illustrator… in Japan. The AI Research department in Pixta VN owns a team of experts in the field of Machine Learning, responsible for researching and applying technology to help improve and support users in many different tasks. Currently, we are looking for students for the Internship position. Our goal is to hire potential and passionate Data Scientist internship who are keen on: Your scope of work: Self-learning and sharing the knowledge of implementing machine learning models with PyTorch. Discussion with Tutors or Seniors to implement the machine learning model in PyTorch. Discuss with teammates to debug and fix the machine learning models. Visualize the results as instructed by tutors or seniors using Matplotlib or Tensorboard. Report the working progress and situation to the Project Leader regularly. Quyền lợi được hưởng Salary & Allowance Internship allowance: Up to 9.000.000 VND Lunch allowance (40.000 VND/day), free parking fee 5 working days a week Career Growth Internship opportunities in a professional, flexible international environment Opportunities to apply the knowledge learned in solving practical problems Education and Award Team training, seminars, and useful documents are available Free Cousera Account Working Environment Young, transparent & initiative Internal Activities: Company trip (Yearly), Company outing (Quarterly), Club: Table tennis, Soccer, Music Clubs... Yêu cầu kỹ năng Your Skills and Experience The best fit candidates will own: Studying in Machine Learning, Computer Science, Electrical Engineering, Physics, Statistics, Applied Math or other quantitative fields from a reputed university. Have skills in Python Have good communication and presentation skills. Plus for having experience in working with Machine Learning & Deep Learning Frameworks (ex. PyTorch, Tensorflow, MxNet, Caffe2, etc.) Plus for having good fundamentals in Math (ex. Probability and Statistics, Linear Algebra, etc.) Plus for having experience or knowledge which is related to the Computer Vision field (ex. CNN, Object Detection, Face Recognition)

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