Machine Learning SWE Infra
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El puesto
Lead the design and operation of scalable ML infrastructure for training, evaluation, and deployment of large-scale autonomous driving models.
Own distributed training techniques, performance profiling, and optimization across ML accelerators and hardware.
Build end-to-end pipelines covering data generation, model training, fine-tuning, and evaluation with robust metrics.
Work at the intersection of data engineering, model development, and simulation to deliver measurable technical outcomes.
Provide technical leadership across cross-functional teams and translate product goals into executable plans.
Drive impact by enabling rapid experimentation, reducing bottlenecks, and improving the overall driver system performance.
Own distributed training techniques, performance profiling, and optimization across ML accelerators and hardware.
Build end-to-end pipelines covering data generation, model training, fine-tuning, and evaluation with robust metrics.
Work at the intersection of data engineering, model development, and simulation to deliver measurable technical outcomes.
Provide technical leadership across cross-functional teams and translate product goals into executable plans.
Drive impact by enabling rapid experimentation, reducing bottlenecks, and improving the overall driver system performance.
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