Applied Research Scientist, Perception LLM/VLM (PhD, New Grad)
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The role
Design, implement, and optimize large-scale continual pre-training pipelines for vision-language foundation models in autonomous perception.
Integrate diverse multimodal data streams from multiple sensors to enhance model capability and scalability.
Develop rigorous metrics to evaluate performance and transferability of continually pre-trained models in real-world driving scenarios.
Translate cutting-edge research into production-ready systems for onboard and offboard inference.
Collaborate with cross-functional teams to tackle challenges in perception, data curation, and system integration.
Stay current with advances in LLMs, VLMs, and continual learning, and contribute to the research community through publications.
Integrate diverse multimodal data streams from multiple sensors to enhance model capability and scalability.
Develop rigorous metrics to evaluate performance and transferability of continually pre-trained models in real-world driving scenarios.
Translate cutting-edge research into production-ready systems for onboard and offboard inference.
Collaborate with cross-functional teams to tackle challenges in perception, data curation, and system integration.
Stay current with advances in LLMs, VLMs, and continual learning, and contribute to the research community through publications.
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Remote workNo
CitySan Francisco, United States