Machine Learning Engineer, Reinforcement Learning & Reward Modeling
Cette offre est-elle pour vous ?
Créer mon CV Créez votre CV et découvrez votre pourcentage de correspondance avec ce poste — et avec tous les autres.
Le poste
Design and optimize end-to-end pipelines for training reward models and RL agents to be reproducible and high-throughput.
Develop tooling for data processing, annotation, and inference within RL workflows.
Build, refine, and deploy reward models that encode safe, interpretable, and effective driving behaviours.
Integrate reward models with diverse data sources: real-world trajectories, simulation, and synthetic datasets.
Conduct ablations, hyperparameter explorations, and controlled studies to analyse how reward structures and training dynamics affect policy performance.
Diagnose failure modes, iterate on reward objectives, and partner with RL scientists to translate ideas into scalable engineering solutions and testing frameworks.
Develop tooling for data processing, annotation, and inference within RL workflows.
Build, refine, and deploy reward models that encode safe, interpretable, and effective driving behaviours.
Integrate reward models with diverse data sources: real-world trajectories, simulation, and synthetic datasets.
Conduct ablations, hyperparameter explorations, and controlled studies to analyse how reward structures and training dynamics affect policy performance.
Diagnose failure modes, iterate on reward objectives, and partner with RL scientists to translate ideas into scalable engineering solutions and testing frameworks.
Voir l'offre en entier
Missions, profil recherché, compétences et avantages — en créant votre compte gratuitement.
Déjà un compte ? Se connecter
Offres similaires
D'autres postes qui pourraient vous convenir.