Build and deploy production ML models and end-to-end pipelines to detect suspicious behavior; design evaluation, monitoring, and drift detection; integrate intelligence into product workflows; improve data quality and accessibility; and contribute to operational rigor, runbooks, and safe rollout practices in a security-sensitive environment.

The Software Engineer will develop customer-facing integrations, build APIs, enhance security, and improve system reliability while collaborating with multiple teams.