Senior AI Engineer (Driving VLM/VLA)
Tasks
- Build VLM based applications like scene captioning and visual question answering
- Collaborate to integrate models into autonomous driving systems
- Construct multimodal dataset and design training recipes
- Design and develop vision language action driving foundation model
- Design evaluation benchmarks and run ablation experiments
- Develop agent interaction and risk event understanding models
- Develop driving scene understanding and temporal reasoning models
- Train and evaluate multimodal sequential data models
Perks/Benefits
- N/A
Skills/Tech-stack
Autonomous Driving | Autoregressive Model | Closed Loop | Closed Loop Evaluation | Computer Vision | Data Mining | Data pipeline | Diffusion Model | Distributed Training | Generative AI | Imitation Learning | Language Model | Large Scale Data | Large Scale Data Pipeline | Large-scale | Machine Learning | Multimodal AI | PyTorch | Representation Learning | Retrieval | Robotics | Simulation | Trajectory Prediction | Transformer | Vision Language Model | Vision-language | Vision-language-action
Education
N/A
Roles
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