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…
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