Machine Learning Engineer

Sift · Remote

Posted
34 days ago
Last confirmed live
1 day ago

What this role involves

Sift is hiring a Machine Learning Engineer to build end-to-end ML pipelines for fraud detection, working with large-scale distributed systems and streaming data. The role requires 4+ years of experience, strong programming in Java/Scala and Python, and expertise in big data frameworks like Spark and Flink.

Skills this posting asks for

  • java
  • scala
  • python
  • databricks
  • apache spark
  • apache flink
  • hadoop
  • bigtable
  • xgboost
  • random forests
  • neural networks
  • clustering
  • gcp
  • apache kafka
  • docker
  • kubernetes
  • claude code

Requirements

  • 4 years of experience
  • Level: senior

From the employer’s posting

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 product…

Read the full description on Sift’s careers page

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