Senior Machine Learning Engineer, Perception LLM/VLM
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The role
Design, implement, and optimize large-scale continual pre-training pipelines for vision-language foundation models in autonomous driving perception.
Develop novel pre-training techniques to efficiently integrate diverse multimodal data streams from multiple sensors into existing models.
Create and rigorously evaluate metrics to measure performance, robustness, and transferability of continually pre-trained models in real-world settings.
Stay current with advances in LLMs, VLMs, and continual learning, translating research into production-ready systems.
Build scalable data curation, quality assurance, and ML tooling to support training, evaluation, and deployment at scale.
Collaborate with cross-functional teams to improve perception components for autonomous driving applications.
Develop novel pre-training techniques to efficiently integrate diverse multimodal data streams from multiple sensors into existing models.
Create and rigorously evaluate metrics to measure performance, robustness, and transferability of continually pre-trained models in real-world settings.
Stay current with advances in LLMs, VLMs, and continual learning, translating research into production-ready systems.
Build scalable data curation, quality assurance, and ML tooling to support training, evaluation, and deployment at scale.
Collaborate with cross-functional teams to improve perception components for autonomous driving applications.
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