2 months ago
Houston, TX, USA or San Francisco, CA, USAIntern / Entry Level
Responsibilities
- Participate in the development, training, and optimization of deep learning models for autonomous driving.
- Engage in the entire machine learning workflow, including data curation, analysis, and model experimentation.
- Collaborate with simulation, infrastructure, and planning/control teams to integrate machine learning components.
- Stay updated on research breakthroughs in computer vision and generative AI, testing promising methods.
Requirements
- Bachelor's, Master's, or Ph.D. in Computer Science, Robotics, Electrical Engineering, Applied Mathematics, Physics, or a related field.
- Experience in training neural networks through coursework, research, or projects.
- Strong theoretical foundation in machine learning and deep learning with knowledge of modern architectures.
- Proficiency in Python and deep learning frameworks like PyTorch, along with strong software engineering skills.
- High self-motivation, analytical skills, and a team-player mindset.
Benefits
- Real mentorship from senior engineers focused on design and judgment.
- Opportunities for rapid promotion based on performance.
Categories
ML EngineeringRobotics
About Bot Auto
Bot Auto develops and operates Level 4 autonomous trucks, selling freight capacity as Transportation-as-a-Service to shippers rather than licensing technology. The Houston-based, privately held company (founded 2023) owns the trucks and runs end-to-end operations, pairing fleet operators with autonomy engineers to deploy long-haul routes. Its platform spans autonomy software, vehicle controls, sensors, compute, and fleet operations with a documented safety case for commercial freight service.