# Intern, Deep Learning Engineer at Bot Auto

Intern, Deep Learning Engineer at Bot Auto in Houston, TX. Internship. Posted July 2, 2026.

- Company: Bot Auto
- Location: Houston, TX
- Job type: Internship
- Posted: 2026-07-02
- Apply: https://job-boards.greenhouse.io/botauto/jobs/5289440008
- Source: https://jobmagic.ai/jobs/intern-deep-learning-engineer-bot-auto-k9zqz9

## Requirements

- 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.

## 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.