Principal Machine Learning Engineer, Foundation Models
仕事内容
Lead the design, pre-training, fine-tuning, and deployment of novel foundation models for multi-modal telematics data.
Develop algorithms that model automotive physics and human driving behavior to improve risk assessment and driver engagement.
Pioneer advanced self-supervised learning tasks and robust representations from noisy real-world sensor data.
Build scalable training and inference pipelines using Ray, PyTorch DDP, Horovod, and related frameworks; deploy models to production.
Collaborate with engineering, product, and research teams; mentor junior scientists; contribute to AI strategy and explainability initiatives.
Deliver production-ready AI solutions that perform reliably on cloud and edge devices while addressing bias and safety considerations.
Develop algorithms that model automotive physics and human driving behavior to improve risk assessment and driver engagement.
Pioneer advanced self-supervised learning tasks and robust representations from noisy real-world sensor data.
Build scalable training and inference pipelines using Ray, PyTorch DDP, Horovod, and related frameworks; deploy models to production.
Collaborate with engineering, product, and research teams; mentor junior scientists; contribute to AI strategy and explainability initiatives.
Deliver production-ready AI solutions that perform reliably on cloud and edge devices while addressing bias and safety considerations.
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