Sardine
Machine Learning Engineer
$175K–$220K
North America +2 · Remote · Full-time · Posted Sep 9, 2025
- Location
- North America
United States
Canada
About the job
Build and operate the low-latency infrastructure that serves and monitors real-time fraud detection models.
What you'll do
- Build model-serving, inference, feature retrieval, and model deployment systems, including client-hosted model support.
- Own production ML systems through monitoring, drift detection, retraining, incident response, and on-call; optimise feature pipelines.
- Work across Python and Go to keep inference fast, and build models where appropriate.
What they ask for
- Experience building model-serving infrastructure.
- Production ownership of ML systems, including diagnosing and preventing failures.
- Strong Python and software engineering fundamentals, including testing, code review, and CI/CD.
- Comfort with Kubernetes, containers, a major cloud, and infrastructure-as-code.
Nice to have
- Domain knowledge in fraud, risk, or cybersecurity.
- Familiarity with modern browser APIs, high-entropy data collection, or frontier LLMs for automation.
Pay
$175K – $220K (base salary)
Tools
Python, Go, Kubernetes, GCP, Docker, CI/CD
AI focus
Build and operate machine-learning model-serving systems for real-time fraud detection; build models where appropriate and optionally use frontier LLMs for automation.
Model-written summary · the original posting is authoritative