US Company is hiring: Foundation Model ML Engineer – Multi-Agent Driving in San
US Company, San Jose, CA, United States
A leading autonomous driving technology firm is looking for a Machine Learning Engineer specializing in foundation models in San Jose, CA. This role involves designing large-scale deep learning systems and building models for multi-agent trajectory planning and decision-making. Candidates should have strong experience in machine learning and deep learning frameworks like PyTorch and TensorFlow. The position offers a competitive salary and opportunities to innovate within the autonomous vehicle sector.
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In Summary: A leading autonomous driving technology firm is looking for a Machine Learning Engineer in San Jose, CA . The role involves designing large-scale deep learning systems and building models for multi-agent trajectory planning and decision-making . Candidates should have strong experience in machine learning and deep learning frameworks like PyTorch and TensorFlow .
En Español: Una empresa líder en tecnología de conducción autónoma está buscando un ingeniero de aprendizaje automático especializado en modelos fundacionales en San Jose, CA. Este papel involucra el diseño de sistemas de profundo aprendizaje a gran escala y la construcción de modelos para planificación y toma de decisiones sobre trayectorias multi-agentes.
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In Summary: A leading autonomous driving technology firm is looking for a Machine Learning Engineer in San Jose, CA . The role involves designing large-scale deep learning systems and building models for multi-agent trajectory planning and decision-making . Candidates should have strong experience in machine learning and deep learning frameworks like PyTorch and TensorFlow .
En Español: Una empresa líder en tecnología de conducción autónoma está buscando un ingeniero de aprendizaje automático especializado en modelos fundacionales en San Jose, CA. Este papel involucra el diseño de sistemas de profundo aprendizaje a gran escala y la construcción de modelos para planificación y toma de decisiones sobre trayectorias multi-agentes.