Intern, Deep Learning Engineer

Job description

**About Bot Auto** Bot Auto is revolutionizing autonomous trucking by combining start-up agility with the wisdom of seasoned experts. We are 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 Model). - **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 our large-scale compute clusters and truck datasets. ### Qualifications **Required:** - **Education:** 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. - **Technical Stack:** Proficient in **Python** and **PyTorch** with clean coding practices. - **Theoretical Core:** Solid understanding of modern AI architectures, especially **Transformers** and its applications in different fields. - **Commitment:** Available full-time for at least 3 months. **Preferred:** - **Research Focus:** Academic thesis or project experience in *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.