Intern, Deep Learning Engineer

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. Must be onsite at the Houston, TX office and available to work 5 days per week at the office location. As set forth in Bot Auto’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. #J-18808-Ljbffr Bot Auto