Deep Learning Intern
About The Position
PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World’s Most Innovative Companies. Partners including TRATON GROUP’s Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams. Join our dynamic team at Plus as a Perception Intern and immerse yourself in the cutting-edge world of autonomous vehicles delivering real-world impact. You'll dive into the heart of a state-of-the-art simulation pipeline and collaborate with industry experts as you train and fine-tune multimodal deep learning models.
Requirements
- Pursuing MS or PhD in Computer Science, Electrical Engineering, Robotics, similar technical field of study, or equivalent practical experience
- Software design and development experience in Python
- Knowledge and/or experience with Machine Learning/Deep Learning
- Experience in 3D computer vision
Nice To Haves
- Past experiences in deep learning projects involving object detection, motion tracking or semantic segmentation
- Experience with 3D Vision
- Publication record in relevant venues (CVPR, ICLR, ICCV, ECCV, NeurIPS, AAAI, SIGGRAPH)
Responsibilities
- Develop state of the art technologies to detect emergency vehicles using temporal sequence of camera images.
- Develop and benchmark cutting-edge techniques in deep learning.
- Collaborate with team members to optimize and seamlessly integrate developed techniques into the production perception/AV stack.
Benefits
- Catered free lunch, unlimited snacks and beverages.
- Highly competitive salary and benefits package, including 401(k) plan.
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What This Job Offers
Career Level
Intern
