SDE IV (ML Engineering)

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Full job description

Build and maintain production systems based on Data Scientist findings, including finetuning/distillation pipelines, routing algorithms, and cost-optimization logic. Develop data pipelines and platform components as owned products with real interfaces. Ensure engineering rigor of shared evaluation infrastructure for model and algorithm work. Ship, monitor, and iterate on production systems, providing feedback to Data Scientists. Requires strong software/ML engineering fundamentals, willingness to learn model finetuning and distillation, algorithmic thinking for routing/optimization under constraints, and ability to work from existing analysis.