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Machine Learning Engineer, Radar

Permanentonsite3–5 yrs📍 Seattle, 🇺🇸 United States🗣 English

Machine learning engineer building fraud detection systems at Stripe's scale.

Design, train, and deploy ML models that detect fraud and abuse across global payment transactions in real-time. You'll investigate emerging attack patterns, experiment with modern architectures (transformers, graph learning, LLMs), and balance model quality against latency and user impact. Requires 2+ years shipping production ML systems, strong software engineering fundamentals, and experience optimizing systems for scale and low-latency inference.

Tech stack
PythonTensorFlowPyTorchSQLKubernetesLLMGraph Neural NetworksTransformers
Rate
Not stated by the agency
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Found at a specialist agency · listed 8 October 2026 · InsideJobs links you to the original posting.