Foundation Models for Autonomous Driving - AI Engineering Intern

$39 – $64/yrPosted 5 days agoWebsite LinkedIn

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As an engineering intern for foundation model in autonomous driving, you will:

Implement cutting edge research methods into efficient and production ready solutions to address challenges in autonomous driving systems.
Develop scalable systems to run experiments and benchmarking in real-world applications with high quality implementation.
Integrate the resulting system/software into existing Bosch platform.
Summarize research findings in high-quality paper and/or patent submissions

Currently enrolled in a Master’s program in Computer Science or related fields (Must be a current student)
Hands-on experience on developing computer vision and machine learning algorithms with focus on at least two of the following areas: multimodal foundation models, vision-language-action models (VLA), diffusion models, detection/segmentation, 3D scene understanding, autonomous driving, and sensor fusion.
Solid Python skills and proficient with libraries such as MMCV, and PyTorch.
Minimum GPA of 3.0

Experience with training codebase of popular open-source vision and foundation models.
Familiar with SOTA vision and learning methods of multimodal LLMs, diffusion models, Diffusion Models, knowledge distillation, and so on.
Experience in training models with reinforcement learning.
Able to work independently, has strong research and problem-solving skills
Strong background in math and statistics is a plus.
Good communication and teamwork skills