Intern, Deep Learning Engineer

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.

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