We are seeking an individual to conduct advanced engineering in 3D perception and machine learning to address challenges in automated driving. The candidate will have the opportunity to:
- design and extend stateoftheart machine learning models for specific ADAS applications.
- create and curate internal datasets.
- adapt existing models trained using public datasets to use internally generated data.
- perform largescale data processing.
- perform basic data mining.
- evaluate and document model performance of different methods.
Qualifications :
Required:
- M.S. or Ph.D student in Computer Science or Engineering
- 1 years of research and engineering experience for computer vision and machine learning algorithms (e.g. DNN RNN GNN GAN ViT etc).
- 1 years of research and engineering experience working with transformerbased ML architectures
- Knowledge of automated driving software stack components (e.g. Perception Localization Object Fusion Planning Motion Control etc).
- Programming experience in Python and C and handson experience with libraries such as PyTorch.
- Demonstrated willingness and ability to learn and grasp new concepts quickly.
- Selfstarter and selfmotivated.
Desired:
- Experience working with opensource autonomous driving datasets.
- Experience with geographic data (WGS84/UTM).
- Experience working with various sensor modalities including cameras and LiDAR.
- Experience developing deep learning architectures and performing model optimization.
Additional Information :
The U.S. base salary range for this intern position is $31.00/hr$68.00/hr. Within the range individual pay is determined based on several factors including but not limited to type of degree work experience and job knowledge complexity of the role type of position job location etc. Your Hiring Manager can share more details about the specific salary range for this position during the interview process.*
Remote Work :
No
Employment Type :
Intern