Software Engineer, Machine Learning
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El puesto
Participate in foundation model post-training and evaluation to improve safe autonomous driving systems.
Develop cutting-edge reinforcement learning and distillation techniques for vehicle trajectory planning.
Integrate emerging research into internal infrastructure, conducting rigorous ablations to identify scalable methods.
Collaborate with cross-functional teams to share AI Foundations techniques across the organization.
Integrate multimodal models into simulators with varying fidelity to support development and testing.
Address globally distributed inference infrastructure challenges with a focus on scalability and reliability.
Develop cutting-edge reinforcement learning and distillation techniques for vehicle trajectory planning.
Integrate emerging research into internal infrastructure, conducting rigorous ablations to identify scalable methods.
Collaborate with cross-functional teams to share AI Foundations techniques across the organization.
Integrate multimodal models into simulators with varying fidelity to support development and testing.
Address globally distributed inference infrastructure challenges with a focus on scalability and reliability.
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Teletrabajopartial
CiudadSan Francisco, Estados Unidos