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Intern – AD Perception
| Company | Mercedes-Benz |
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| Location | San Jose, CA, USA |
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| Salary | $28 – $32 |
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| Type | Internship |
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| Degrees | Master’s |
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| Experience Level | Internship |
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Requirements
- MS degree in Major in Computer Science, Electrical Engineering, Robotics, or a related field, with a strong focus on machine learning, computer vision, and/or natural language processing etc)
- Demonstrated experience in developing and training deep learning models, particularly in 3D scene understanding, map-based perception, or scene graph generation.
- Solid understanding of state-of-the-art vision and language models (e.g., CLIP, BLIP, VLM adaptions of ViT, LLM-integrated frameworks).
- Strong programming skills in Python and familiarity with deep learning libraries (e.g., PyTorch, TensorFlow).
- Masters + 3 yrs / PhD or Minimum years of experience required 5 years.
Responsibilities
- Develop and optimize ML models for scene understanding, map fusion, and scene graph generation.
- Develop approaches for automated map generation from sensor data.
- Research methods to fuse map priors with perception data to build an accurate environment model in real-time.
- Integrate foundation models into the perception and mapping system.
- Work with large-scale multi-modal datasets (camera, LiDAR, radar) and enhance fusion approaches.
- Present research findings and contribute to publications or internal reports.
Preferred Qualifications
- Currently pursuing or recently graduated from a PhD program in Computer Science, Electrical Engineering, Robotics, or a closely related discipline
- Publication record in reputable AI/ML/CV/NLP conferences or journals
- Experience with Autonomous Driving algorithms and systems
