Machine Learning Engineer Intern

Summary

Venti Technologies is a leading developer of autonomous logistics systems based in the U.S. and Asia. They are looking for a self-motivated member to contribute to their machine learning perception products for their autonomous vehicles. The role involves developing deep learning algorithms, working on data processes, and optimizing, deploying, and iterating models. A Master’s or PhD degree in Computer Science / Engineering, Electronics or equivalent is required, along with proficiency in Python/C++, Machine Learning, Computer Vision, point cloud processing, PyTorch/TensorFlow, and a good critical thinking capability.

Requirements

• Master’s or PhD in Computer Science / Engineering, Electronics or equivalent
• Able to write neat python/C++ code, and solve problems independently with certain supervision
• Familiar with Machine Learning / Computer Vision / point cloud processing
• Proficient in PyTorch/TensorFlow
• Good critical thinking capability, and analytical mindset to tackle new problems
• At least 5-month full-time commitment

Responsibilities

• Develop applied deep learning algorithms for autonomous perception system, including object classification/detection/segmentation/tracking/prediction with LiDAR and/or image
• Work with the team on the whole data process on data collecting, mining, annotation, and quality assessment to ensure good dataset quality for model training
• Work with the team to optimize, deploy and fast iterate deep models to autonomous vehicles