Develops systems to detect and prevent abuse like financial fraud and adversarial attacks on AI platforms. Collaborates cross-functionally to build defensive infrastructure, with 3+ years backend experience using Python, Kubernetes, and related tools.
230k – 385k/yr
On-site3+ YOEFullstack Engineering
About the role
Responsibilities
Develop and enhance systems to detect and prevent various forms of abuse including financial fraud, botting, and scripting.
Collaborate with cross-functional teams to design solutions that protect against and mitigate adversarial attacks without compromising user experience.
Assist with response to active incidents on the platform and build new tooling and infrastructure that address the fundamental problems.
Requirements
At least 3 years of professional software engineering experience.
Experience setting up and maintaining production backend services and data pipelines.
Humble attitude, eagerness to help colleagues, and desire to do whatever it takes to make the team succeed.
Self-directed, enjoy figuring out the best way to solve problems.
Own problems end-to-end, willing to pick up missing knowledge.
Care about AI Safety in production environments and expertise to build software systems that defend against abuse.
Build tools to accelerate workflows when off-the-shelf solutions are insufficient.
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