Intern, Deep Learning Engineer
Botauto · Houston, TX
About this role
**About Bot Auto** Bot Auto is revolutionizing autonomous trucking by combining startup agility with the wisdom of seasoned experts. We’re looking for **MS/PhD interns** to join our core AI team for a **3–6 month internship** to tackle real-world edge cases. **Key Responsibilities** - **SOTA Prototyping:** Implement and benchmark next-gen architectures (e.g., multi-modal perception, online mapping, behavior prediction, world models). - **Project Ownership:** Own a targeted research project from data analysis to model verification under senior mentorship. - **Scale Experimentation:** Train, tune, and optimize deep learning models using large-scale compute clusters and truck datasets. **Qualifications** **Required** - **Education:** Current Master’s or Ph.D. candidate in CS, Robotics, or a related field, focusing on Deep Learning, Computer Vision, Robotics, or related areas. - **Technical Stack:** Proficient in **Python** and **PyTorch** with clean coding practices. - **Theoretical Core:** Solid understanding of modern AI architectures, especially **Transformers**. - **Commitment:** Available full-time for at least **3 months**. **Preferred** - **Research Focus:** Experience with multi-sensor perception, generative AI/diffusion, motion prediction, or end-to-end autonomous driving. - **Track Record:** Publications or submissions at top conferences (e.g., **CVPR, ICCV, NeurIPS, ICLR, ICRA**). - **Engineering Plus:** Experience with **Linux, Git, C++**, or deployment tools like **TensorRT/ONNX**.
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