Computer Vision Research Engineer

Responsibilities
– Research and develop models for the localization module in autonomous vehicles.
– Research and develop core technology for face recognition.
– Collaborate with cross-functional teams to integrate computer vision solutions into applications and products.
– Optimize AI models to achieve the best performance on edge devices.
– Stay up-to-date with the latest advancements in computer vision research and technology.
– Troubleshoot and optimize computer vision algorithms for performance andaccuracy.
Requirements
– Bachelor’s or Master’s degree in Computer Science or related fields.
– At least 2-3 years of overall experience including at least 2 years of experience in
– Machine Learning/ Deep Learning.
– Computer Vision Research Engineer 2
– Experience in solving basic problems such as object detection/recognition/segmentation, visual similarity, human/face detection, model compression/optimization.
– Strong preference for candidates with solving complex problems such as selfdriving car, gnss-free positioning, camera pose estimation.
– Strong preference for candidates with outstanding academic achievements,research experience, having publications in major conferences and journal in the field.
– Proficient in programming languages and tools such as C/C++, Python, PyTorch,and ROS.
– Strong English reading and writing skills.
Benefit
– Salary up to 1800$, negotiation based on candidate’s capacity.
– Being pioneering young individuals participating in building and developing new products, new business directions.
– Collaborating with outstanding teammates.
– Insurance plan based on full salary + 13th month salary + Performance bonus.
– Working time: 08:30 AM – 5:30 PM from Mondays to Fridays (meal breaks included).
– Equipped with modern equipment such as high configuration PC, Laptop.
– Accessed high-configured supercomputers for training AI models.
– 100% support for company trips: Summer Holiday