Ingénieur·e en apprentissage automatique, II

Tech Stack

Responsibilities

• Develop and train machine learning models for learned behavior systems, including approaches like behavior cloning, imitation learning, and reinforcement learning.
• Implement production-quality ML code to support model training, evaluation, and inference within the autonomy stack.
• Analyze model performance, identify failure modes, and propose improvements to increase robustness and generalization across various scenarios.
• Contribute to model training pipelines and data workflows, organizing behavior datasets from simulation, fleet logs, and vehicle data.
• Collaborate with simulation, validation, and autonomy engineering teams to test and evaluate learned behavior models across diverse driving environments.

Benefits

• Health Insurance

Culture

Requirements