Responsibilities
- Lead the creation of advanced multimodal language models to improve robotic vehicles' comprehension of dense city environments
- Develop high-performing model structures and advanced training strategies using comprehensive sensor data and large-scale datasets
- Own the full lifecycle of machine learning systems, from concept to deployment, using robust data infrastructure to advance self-driving performance
- Work closely with teams in perception, planning, safety, and systems to embed trained models into real-time vehicle decision workflows
- Evaluate and refine models using actual driving conditions to enhance the safety and dependability of autonomous operations
Responsibilities
- Lead the creation of advanced multimodal language models to improve robotic vehicles' comprehension of dense city environments
- Develop high-performing model structures and advanced training strategies using comprehensive sensor data and large-scale datasets
- Own the full lifecycle of machine learning systems, from concept to deployment, using robust data infrastructure to advance self-driving performance
- Work closely with teams in perception, planning, safety, and systems to embed trained models into real-time vehicle decision workflows
- Evaluate and refine models using actual driving conditions to enhance the safety and dependability of autonomous operations
