Research Engineer - Machine Learning (Intern)

Introduction SR and the role
Seoul Robotics is a tech company with the mission “Making Robots intelligent”. We are a 3D computer vision company that uses AI and deep learning to power the future of autonomy. Our current focus is to build intelligent cars that will not crash as we can do better than others with our technologies. We strongly believe it is time to make society better with our technology. This position is a great opportunity to join a company invested in engineering for the future.
Design, build, train and test and optimize Machine Learning and Deep Learning perception models such as segmentation, classification, detection, tracking, and prediction
Studying and implementing cutting-edge techniques in the field of 3D perception
Develop prototypes and proof of concepts as appropriate
Work on fast-paced co-creation projects life cycle from dataset creation, data processing, architecture selection, training, optimization to evaluation and documentation
Able to commit to a minimum of a 6-month internship
Fluency in Python and ML libraries like Scikit-learn, PyTorch or Tensorflow, etc
Understanding of fundamental Machine Learning (such as SVM, tree-based models, clustering, … ) and Deep Learning
Curious, self-motivated, and excited about solving challenging problems
Great communication skills, both oral and written
Experience in robot perception using 3D point clouds such as LiDAR, RADAR
Experience with modern computer vision techniques such as object segmentation and detection
Proven ability to quickly and effectively turn research ML papers into working code
Strong mathematics skills - linear algebra, optimization, probability, and statistics
Apply ▷ CV Screening ▷ 1. Interview ▷ Tech Interview (Assignment) ▷ Final Interview ▷ Join Us!
How we work
International Team (English is a must, Korean is optional)
Flexible working hour (8 hours a day / Core time: 11~12, 14~17)
15 vacations a year (Free to use)
No dress code
Support the best equipment for work
Premium health check (Once a year)
Support books, seminars and conferences for growth
Our References
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