VLA engineer (Autonomus Driving)
42dot(1 month ago)
About this role
A VLA Engineer (Autonomous Driving) at 42dot designs and develops VLA-based models aimed at enhancing planning, decision-making, and action generation for autonomous vehicles. Responsibilities include applying imitation and reinforcement learning techniques to refine driving behaviors, managing large-scale datasets, and maintaining end-to-end machine learning pipelines from data curation to deployment. The role also requires collaboration with various teams to ensure successful integration of machine learning models into production vehicle systems, focusing on safety and performance in both simulation and real-vehicle environments.
Required Skills
- VLA-Based Models
- Imitation Learning
- Reinforcement Learning
- Generative Modeling
- Multimodal Models
- Driving Datasets
- Multimodal Representations
- Machine Learning Pipelines
- Model Evaluation
- Collaboration Skills
+11 more
About 42dot
42dot.ai42dot is a leading mobility AI company that focuses on pioneering the future of transportation through software-defined vehicles (SDV). By leveraging advanced software and AI technologies, the company aims to solve critical mobility challenges and provide innovative solutions for autonomous driving and smart transportation. With products like the TAP! mobility platform and capabilities across autonomous electric vehicles, 42dot is at the forefront of transforming urban mobility and creating a fully connected transportation ecosystem.
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