Perception Engineering Intern

Job Description:

Job Description

During this internship, you will work with an international team of engineers and research scientists to develop and implement advanced, multi-task perception models as components of agent-based systems. A few of your responsibilities will include:
* Research and apply innovative techniques to improve data efficiency and model performance.
* Optimize deep learning models and agent interference pipeline for efficient and scalable performance.
* Design and develop agent-based systems that integrate perception models with reasoning components.
* Contribute to the creation of a deployable software package and document research findings

Candidate Requirements:

Qualifications

Required:
* Currently pursing a Master's degree in Software Engineering, Computer Science, or related field.
* Minimum GPA of 3.0
* Strong programming skills in Python and hands-on experience with deep learning frameworks such as PyTorch.
* Solid understanding of deep learning and computer vision fundamentals in autonomous or agent-based systems.
* Project experience in at least one of the following areas: object detection, semantic segmentation, 3D computer vision, multi-task learning, autonomous driving, or agent-based systems.
* Excellent problem-solving skills and attention to detail.
* Effective communication and collaboration skills.
Preferred:
* Experience with multi-agent systems.
* Experience with Bird's-Eye-View (BEV) perception models.
* Knowledge of self-supervised or semi-supervised learning techniques.
* Academic background in 3D geometry and multi-view camera systems.
* Experience with model optimization and deployment frameworks such as TensorRT and ONNX