About the job
Join Our Innovative Team:
As a Machine Learning Engineer II specializing in End-to-End (E2E) solutions, you will play a crucial role in the creation and deployment of advanced models that enhance both perception and decision-making for autonomous trucking systems. Collaborating closely with cross-functional teams focused on perception, prediction, planning, and safety, your contributions will help shape E2E models that ensure safe, efficient, and human-like driving experiences in real-world freight scenarios.
In this role, you will focus on the design, validation, and optimization of machine learning models and the infrastructure that supports E2E systems within our autonomy stack.
Key Responsibilities:
- Develop and train machine learning models for E2E perception and planning, leveraging techniques such as imitation learning and reinforcement learning.
- Implement robust, production-quality machine learning code to facilitate model training and deployment.

