Intern, Deep Learning Engineer
On-siteHouston, Texas, United States
Houston, Texas, United StatesOn-siteInternshipEntry LevelDoctorate Or Professional DegreeStartup
InternshipEntry LevelDoctorate Or Professional DegreeStartup
Job Summary
Implement and benchmark next-gen architectures for multi-modal perception, online mapping, and behavior prediction. Own a targeted research project from data analysis to model verification under senior mentorship, utilizing large-scale compute clusters and truck datasets to train and optimize deep learning models. This 3-6 month full-time internship supports Bot Auto's core AI team in revolutionizing autonomous trucking by tackling real-world edge cases.
Required Qualifications
- Current Master's or Ph.D. candidate in CS, Robotics, or a related field
- specifically focusing on Deep Learning, Computer Vision, Robotics, or related fields
- Proficient in Python and PyTorch with clean coding practices
- Solid understanding of modern AI architectures, especially Transformers and its applications in different fields
- Available full-time for at least 3 months
Desired Qualifications
- Academic thesis or project experience in Multi-sensor Perception, Generative AI/Diffusion, Motion Prediction, or End-to-End Autonomous Driving
- Publications or submissions at top conferences (e.g., CVPR, ICCV, NeurIPS, ICLR, ICRA)
- Experience with Linux, Git, C++, or deployment tools like TensorRT/ONNX
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