2 months ago
Houston, TX, USA or San Francisco, CA, USASenior
Responsibilities
- Explore and propose deep learning, neural network, and foundation model approaches for autonomous driving.
- Develop solutions for object detection, tracking, prediction, planning and control, autonomous driving, online mapping, and SLAM-based localization.
- Manage the full machine learning project lifecycle from data analysis and model experimentation through performance metric verification.
- Collaborate with product, simulation, and other autonomous driving algorithm teams to extend machine learning technology across system components.
Requirements
- A Ph.D. or Master's degree in computer science, computer engineering, robotics, mathematics, physics, or a related field is required.
- In-depth knowledge and extensive experience in machine learning and/or computer vision, modern transformer architecture, and state-of-the-art machine learning techniques are required.
- Familiarity with PyTorch, TensorFlow, and other machine learning platforms and tools is required.
- Preferred qualifications include first-author research publications at top conferences or journals.
- Experience with generative models, model distillation, or model inference acceleration techniques such as TensorRT is preferred.
- The role requires independent work in a fast-paced environment and collaboration on complex, large-scale projects.
Tech Stack
PyTorchTensorFlow
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.