Intern, Deep Learning Engineer
Bot Auto
Salary undisclosed
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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.
About this role
Bot Auto is building autonomous trucking systems and seeking graduate-level interns to contribute directly to their core AI team. Over three to six months, you'd own a focused research project spanning data analysis through model verification, working on state-of-the-art problems like multi-modal perception, behavior prediction, and world modeling. The role emphasizes both prototyping and scale—you'll implement cutting-edge architectures and train models on real truck datasets using the company's compute infrastructure, with senior mentorship guiding your work.
You'll need to be a current Master's or Ph.D. candidate in computer science, robotics, or a closely related field with a genuine focus on deep learning or computer vision. Strong Python and PyTorch skills are essential, along with a solid grasp of modern architectures, particularly Transformers. The position requires full-time availability for at least three months and is based in Houston. If you have prior research experience in autonomous driving, multi-sensor perception, or generative models—especially backed by conference publications—you'll be a stronger fit, as would familiarity with Linux, Git, C++, or deployment frameworks like TensorRT.
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