Deep Learning Engineer Intern
Bot AutoAdded 2mo ago
Houston, TXInternship
Save this job and browse the whole board.
Create free account
No credit card needed
Quick summaryby newgrad.ai
What you'll do
- Build and evaluate cutting-edge neural network models for self-driving truck technology.
- Lead a focused research initiative from initial analysis through final model testing.
- Fine-tune deep learning systems on distributed hardware using real vehicle data.
What they're looking for
- Enrolled in a Master's or Ph.D. program studying computer science, robotics, or similar.
- Strong coding skills in Python and PyTorch; grasp of Transformer-based models.
- Able to commit full-time for a minimum of three months.
- Preferred: background in sensor fusion, diffusion models, trajectory forecasting, or end-to-end driving systems.
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.
From Bot Auto's public posting, laid out for reading by newgrad.ai with the wording unchanged. Check the original before you apply.
Apply on Bot Auto's site.
Apply nowListing wrong or expired, or you're the employer and want it removed? Let us know.