Intern, Deep Learning Engineer

Bot Auto

Houston, TX Internship 4 mo ago
Workplace
On-site
Location
Houston, TX
Who can apply
Based in the United States: you usually need the right to work there

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About the role

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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