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Remote or San Francisco, California
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Today
The Role: As a Machine Learning Engineer at Sift, you will bridge the gap between data science and large-scale distributed systems. You won't just train models in isolation; you will build end-to-end pipelines that extract signals, train custom models per merchant, and serve predictions at production scale with low latency. You will work on an automated machine learning ecosystem that dynamically recalibrates models based on streaming global telemetry data. What You'll Do: Model Development &
Full-time
USD 140,000.00 - 190,000.00 per year
