Rolewise

Machine Learning Engineer

Sift · San Francisco · Hybrid

USD 170,000–240,000 / year

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Company
Sift
Location
San Francisco, California
Work mode
Hybrid
Open to applicants from
On-site/hybrid: local candidates
Level
Mid-level
Employment
Full-time
Field
Data & AI / Machine learning & AI
Stated pay
USD 170,000–240,000 / year
Posted
2026-10-28 (18 days ago)
Visa sponsorship mentioned
Not mentioned
Listing source
Ashby

Machine learningCI/CDDockerKubernetesGCPKafka AI / ML engineering & research

About the role

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 & Refinement: Design, build, and deploy online machine learning models (including ensemble methods, deep learning, transformer architectures and graph-based models) to catch evolving fraud vectors in…

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