Bot Auto
Intern, Deep Learning Engineer
Houston Office · On-site · Intern
- Discipline
- Software
- Industry
- Manufacturing
Spec sheet
Automatically summarized from the employer’s posting. Check the original description below for full requirements.
Internship - Tech
Internship in deep learning for autonomous driving; 3-6 month duration targeting MS/PhD candidates with PyTorch, Python, and Transformers experience; US-based (Houston).
Current Master’s or Ph.D. candidate in CS, Robotics, or related field
Required
- Python
- PyTorch
- Transformers
- clean coding practices
- full-time for at least 3 months
- deep learning / computer vision
Preferred
- Multi-sensor Perception
- Generative AI/Diffusion
- Motion Prediction
- End-to-End Autonomous Driving
- Linux
- Git
- C++
- TensorRT/ONNX
Employer 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.
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